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Title & Speakers	Event
Nov 22 - Berlin AI, Machine Learning and Computer Vision Meetup 2024-11-22 · 16:30 Register to reserve your spot! Date and Time Nov 22, 2024 from 5:30 PM to 8:30 PM Location The Meetup will take place at MotionLab.Berlin, Bouchéstraße 12/Halle 20 in Berlin When the Medium is the Message: Addressing Input Biases in Multimodal/Multilingual Models An embedding model is trained to produce outputs that ensure that semantic similarity is preserved as distance in embedding spaces — like is near like and far from unlike. But models trained with diverse kinds of inputs, i.e. different media and different languages, learn to treat those properties as semantic properties. Two pictures are more “semantically alike” than a picture and a descriptive text that matches it. Similar problems arise with multilingual models: Two English sentences are more alike than an English sentence and a Chinese translation. This undermines the general utility of embedding models. This presentation shows evidence of where this comes from and offers approaches to mitigate the problem. About the Speaker Scott Martens is a long-term veteran of AI and NLP research, having started working at AI start-ups in 1994, and a KU Leuven graduate with a doctorate in linguistics. His background includes machine translation development and the intersection between linguistics, philology, and modern AI. Dr. Martens is a Senior Content Manager and Evangelist at Jina AI in Berlin. Vector Streaming: The Memory Efficient Indexing for Vector Databases Vector databases are everywhere, powering LLMs. Indexing vectors, especially multivector embeddings like ColPali and Colbert, at a bulk is memory intensive. Vector streaming solves this problem by parallelizing the tasks of parsing, chunking, and embedding generation and indexing it continuously chunk by chunk instead of bulk. This not only increase the speed but also makes the whole task more optimized and memory efficient. Supports, Weaviate, Elastic and Pinecone. About the Speaker Sonam Pankaj is a GenerativeAI Evangelist at Articul8-ai and the co-creator and maintainer of the open-source library called Embed-Anything, which helps to create local dense, splade, and multimodal embeddings and index them to vector databases; it’s built-in Rust for speed and efficiency . She worked previously at Qdrant Engine and Rasa. Previously, she also worked as an AI researcher at Saama and has worked extensively on clinical trial analytics. She is passionate about topics like metric learning and biases in language models. She has also published a paper in the most reputed journal of computational linguistics, COLING, in ACL Anthology. How to Unlock More Value from Self-Driving Datasets AV/ADAS is one of the most advanced fields in Visual AI. However, getting your hands on a high quality dataset can be tough, let alone working with them to get a model to production. In this talk, I will show you the leading methods and tools to help visualize as well take these datasets to the next level. I will demonstrate how to clean and curate AV datasets as well as perform state of the art augmentations using diffusion models to create synthetic data that can empower the self driving car models of the future, About the Speaker Daniel Gural is a seasoned Machine Learning Engineer at Voxel51 with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. When the Medium is the Message: Addressing Input Biases in Multimodal/Multilingual Models Thanks to deep learning, autonomous cars equipped with cameras and LiDAR can accurately recognize common objects such as cars, streets, and pedestrians, significantly enhancing their understanding of the environment. However, these models often display overconfidence, which can result in misidentifications. For example, consider an exaggerated scenario where an elephant on the street might be mistakenly identified as a trunk because the model has not been trained to recognize elephants. This issue stems from the models’ design to make decisions rather than acknowledge uncertainty by saying ‘I don’t know.’ In this talk, we will discuss how models can recognize their limitations and avoid making uncertain decisions, particularly through the lens of an autonomous car About the Speaker Hanieh Shojaei is a PhD researcher at the Institute of Cartography and Geoinformatics (IKG) at Leibniz University Hannover, specializing in uncertainty estimation and reliability of AI models. Her research focuses on using deep learning for LiDAR scene segmentation to enhance environmental perception and assess prediction reliability for autonomous vehicles.	Nov 22 - Berlin AI, Machine Learning and Computer Vision Meetup
Building with AI: Navigate Scaling 2024-09-19 · 16:00 Important: register on the event website for admission (due to room capacity and building security, it is REQUIRED to register on AICamp website for admission) Description: Welcome to the monthly AI meetup in Paris. This time we are joining forces with our friend from Weaviate and Koyeb to bring the full power of LLMs in production to you. Join us for our event on building with AI as we tackle how you can navigate scaling your AI-Native applications. This is an event series designed to guide AI practitioners, engineers, and business leaders through the seemingly complicated journey of scaling AI-Native solutions. Be prepared for a night of deep technical talks, food/drink, networking with speakers and fellow developers. Agenda: - 6:00pm\~6:40pm: Checkin\, food and networking - 6:40pm\~6:45pm: Welcome\, Community update - 6:45pm\~8:15pm: Tech talks and Q&A - 8:15pm\~9:00pm: Open discussion\, Mixer and Closing. Speakers/Topics: Tech Talk: What they don't tell you about using Vector Databases Speaker: Daniel Phiri (Weaviate) Abstract: Cool, I have a Vector database, now what? This talk answers this question, as get into implementation details that can help you scale your project and make the best out of the technology without burning a hole in your pocket. Tech Talk: Simply (auto)-scaling high-performance LLMs with serverless deployments Speaker: Yann Léger (Koyeb) Abstract: Learn how to automatically scale LLMs in production, optimize your resource usage, and improve performance for your AI-driven applications. Tech Talk: LLMOps Speaker: Dan Constantin (Chainlit) Abstract: coming soon Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Paris or 400K+ worldwide. AICamp Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations	Building with AI: Navigate Scaling
AI Meetup (with Weaviate): AI and LLMs in Production 2024-03-13 · 17:00 * RSVP: https://www.aicamp.ai/event/eventdetails/W2024031309 (Due to room capacity and building security, it's required to pre-register at the link for admission). Welcome to the monthly in-person AI meetup in Berlin, in collaboration with Weaviate. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, networking with speakers and fellow developers. Agenda:** * 6:00pm\~7:00pm: Checkin and networking * 7:00pm\~9:00pm: Tech talks and Q&A * 9:00pm: Open discussion and Mixer Tech Talk: Understand Social Media with Vector Search Speaker: Adam Chan (Weaviate) Abstract: In this talk, I will discuss and demo in real time some automation that is used to augment social media analytics through the power of vector databases and large language models. Tech Talk: Cognee - semantic LLM context and chatbot integration Speaker: Vasilije Markovic (Topoteretes) Abstract: We will show how to use cognee to enrich LLM context and explain how LLMs, vector stores, graph databases and relational databases can be used together to decompose text, understand underlying semantic layers, connect them and provide LLMs with better context. Tech Talk: The Power of Context: Exploring Google Gemini 1.5 Speaker: Gerard Sans (Google Developer Expert) Abstract: In this talk, get an exclusive first look at Google's groundbreaking Gemini 1.5 in action! This multimodal language model features a Mixture of Experts (MoE) architecture and a revolutionary 1 million token context window, allowing it to understand complex inputs with exceptional depth. We'll explore live demos showcasing how this translates to vastly improved AI assistance for users and its impact on RAG systems. Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 8,000+ AI developers in Berlin or 300K+ worldwide. Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack/Discord (link is at the bottom of the page) *	AI Meetup (with Weaviate): AI and LLMs in Production
AI meetup: LLMs in Production with Hugging Face and Weaviate 2024-02-29 · 16:30 Important: RSVP https://www.aicamp.ai/event/eventdetails/W2024022909 (Due to the limited room capacity, all guests must pre-register on the link above for admission) Description: Welcome to the monthly in-person AI meetup in Paris. Join us for deep-dive tech talks on AI, GenAI, LLMs, and machine learning, food/drink, and networking with speakers and fellow developers. This time we are joining forces with our friend from Hugging Face and Weaviate to bring the full power of LLMs in production to you. Agenda:** * 5:30pm\~6:15pm: Checkin, Networking & Welcome * 6:15pm\~7:30pm: Tech talks and Q&A * 7:30pm\~9:00pm: Food & Drinks & more Networking Tech Talk: Cutting edge open-source LLM ecosystem at Hugging Face Speaker: Merve Noyan @Hugging Face Tech Talk: Some things about Multimodal Search Speaker: Daniel Phiri @Weaviate Tech Talk: RAG in Production - a legal data story Speaker: Baudouin Arbarétier @Ordalie.ai Abstract: This talk is about the challenges of RAG on legal data, the fine-tuning of embeddings models for language/domain adaptation and how to build production ready AI-native applications on top of a modern tech stack. Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics Venue: Hugging Face Paris HQ, 124 Rue Réaumur, 75002 Paris Sponsors: - Hugging Face\, Weaviate - We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces\, providing food\, or cash sponsorship. Sponsors will have the chance to speak at the meetups\, receive prominent recognition\, and gain exposure to our extensive membership base of 10\,000+ local or 300K+ developers worldwide. Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #paris channel) \\| Join Discord	AI meetup: LLMs in Production with Hugging Face and Weaviate
AI meetup: LLMs in Production with Hugging Face and Weaviate 2024-02-29 · 16:30 Important: RSVP https://www.aicamp.ai/event/eventdetails/W2024022909 (Due to the limited room capacity, all guests must pre-register on the link above for admission) Description: Welcome to the monthly in-person AI meetup in Paris. Join us for deep-dive tech talks on AI, GenAI, LLMs, and machine learning, food/drink, and networking with speakers and fellow developers. This time we are joining forces with our friend from Hugging Face and Weaviate to bring the full power of LLMs in production to you. Agenda:** * 5:30pm\~6:15pm: Checkin, Networking & Welcome * 6:15pm\~7:30pm: Tech talks and Q&A * 7:30pm\~9:00pm: Food & Drinks & more Networking Tech Talk: Cutting edge open-source LLM ecosystem at Hugging Face Speaker: Merve Noyan @Hugging Face Tech Talk: Some things about Multimodal Search Speaker: Daniel Phiri @Weaviate Tech Talk: RAG in Production - a legal data story Speaker: Baudouin Arbarétier @Ordalie.ai Abstract:This talk is about the challenges of RAG on legal data, the fine-tuning of embeddings models for language/domain adaptation and how to build production ready AI-native applications on top of a modern tech stack. Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics Venue: Hugging Face Paris HQ, 124 Rue Réaumur, 75002 Paris Sponsors: - Hugging Face\, Weaviate - We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces\, providing food\, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups\, receive prominent recognition\, but also gain exposure to our extensive membership base of 10\,000+ AI developers in Paris or 300K+ worldwide. Community on Slack/Discord Event chat: chat and connect with speakers and attendees Sharing blogs, events, job openings, projects collaborations Join Slack/Discord (link is at the bottom of the page)	AI meetup: LLMs in Production with Hugging Face and Weaviate
AI Meetup (February): AI, GenAI, LLMs and ML 2024-02-22 · 22:00 RSVP: https://www.aicamp.ai/event/eventdetails/W2024022214 (Due to room capacity and building security, you must pre-register at the link for admission) Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers & fellow developers. Tech Talk: Searching and Reasoning Over Multimedia Data with Vector Databases and LMMs Speaker: Zain Hasan (Weaviate) Abstract: In this talk, Zain Hasan will discuss how we can use open-source multimodal embedding models in conjunction with large generative multimodal models that can that can see, hear, read, and feel data(!), to perform cross-modal search(searching audio with images, videos with text etc.) and multimodal retrieval augmented generation (MM-RAG) at the billion-object scale with the help of open source vector databases. I will also demonstrate, with live code demos, how being able to perform this cross-modal retrieval in real-time can enables users to use LLMs that can reason over their enterprise multimodal data. This talk will revolve around how we can scale the usage of multimodal embedding and generative models in production. Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 20,000+ local or 300K+ developers worldwide. Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations - Join Slack/Discord	AI Meetup (February): AI, GenAI, LLMs and ML
AI Meetup: End of Year Celebration for AI, GenAI, LLMs and ML 2023-12-06 · 17:00 * RSVP: https://www.aicamp.ai/event/eventdetails/W2023120609 As the year winds down and the holiday spirits ramp up, we invite you to the most electrifying AI meetup (end-of-year edition). Instead of our usual scheduled talks, we will throw the most exciting holiday bash for people who build AI! Join AI developers, ML engineers, Data scientists and practitioners to celebrate all your hard work this year. Agenda: 6:00PM: Checkin, Food, Networking 6:30PM: Welcome/community update 6:45PM: Tech talks, Q&A 8:00PM: AI Community showcase, Happy Hour networking Tech Talk: Bring your AI application from Prototype to Production Speaker: Philip Vollet, Edward Schmuhl @Weaviate Abstract: In this talk, we will give you insights on how to build ai-native applications with the power of LLMs at scale. Based on a real-life example we will cover: - Core concepts and aspects of (long context) Retrieval Augmented Generation - The role of vector databases in RAG - Easy integration with leading players in the AI open-source ecosystem - Choosing various deployment methods - What to keep in mind for production-ready applications (e.g scalability\, multi-tenancy and more) Tech Talk: Building flexible and production-grade RAG applications Speaker: Mathis Lucka @Deepset Abstract: Learn how Haystack lets you take matters into your own hands when implementing RAG applications. You‘ll walk away with a better understanding of version 2.0 of Haystack and how it streamlines the LLM application building experience. Tech Talk: Machine Learning Project Pitfalls Speaker: Andrey Holz @EPAM Systems Abstract: This presentation addresses the multifaceted challenges of machine learning (ML) projects, with a focus on striking a balance between technical expertise and strategic business alignment. Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking, we invite you to submit topics for consideration: Submit Topics Startup Showcase: We have 5\~10 demo desks available for the community showcases and \~5 minutes quick demo on the stage. We will have judges and attendees vote for projects, with 3 amazing awards (best of innovation, best of technology, popular vote). You are invited to apply here Community Showcase Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 8,000+ local or 300K+ developers worldwide. Community on Slack** - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (browse/search and join #berlin channel)	AI Meetup: End of Year Celebration for AI, GenAI, LLMs and ML
AI Deep Dive: LLMs and Vector Databases 2023-09-06 · 17:00 Welcome to our in-person AI meetup, in collaboration with Google Developers Group. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers&peers developers, and win lucky draw prizes. Pre-registration is required: https://www.aicamp.ai/event/eventdetails/W2023090610 [RSVP instructions] Pre-register at the event website. (venue security may not let you in if you don't pre-register) Contact us to submit topics and/or sponsor the meetup on venue/food/swags/prizes. https://forms.gle/JkMt91CZRtoJBSFUA Community on Slack for events chat, speakers office hour and learning resources, job openings and projects collaboration. join slack (search and join #london channel) * Description: This meet-up is a unique opportunity to connect with fellow AI enthusiasts, industry practitioners, and researchers in a dynamic and interactive setting. Whether you are a seasoned AI professional or just curious about the latest advancements in Generative AI, LLMs and Vector Databases, this meet-up is for you! Join us for an insightful and thought-provoking discussion on the forefront of AI innovation and practices. Agenda (BST): * 6:00pm\~6:30pm: Checkin, Food/Snacks/Drink and networking * 6:30pm\~6:45pm: Welcome/community update * 6:45pm\~7:45pm: Tech talks * 7:45pm: Open discussion & Mixer Tech Talk 1: Using Vector Databases with Multimodal Embeddings and Search At Scale Speaker: Zain Hasan @Weaviate Abstract: Many real-world problems are inherently multimodal, from the communicative modalities humans use such as spoken language and gestures to the force, proprioception, and visual sensors ubiquitous in robotics. In order for machine learning models to address these problems and interact more naturally and holistically with the world around them and ultimately be more general and powerful reasoning engines we need them to understand data across all of its corresponding image, video, text, audio, and tactile representations. In this talk we will discuss how we can use open-source multimodal models, that can see, hear, read, and feel data(!), to perform cross-modal search(searching audio with images, videos with text etc.) at the billion-object scale with the help of open source vector databases. I will also demonstrate, with live code demos and large-scale datasets, how being able to perform this cross-modal retrieval in real-time can help users add natural search interfaces to their apps. This talk will revolve around how we scaled the usage of multimodal embedding models in production and how you can add cross-modal search into your apps. Tech Talk 2: Bringing LLMs to Your Data Speaker: JP Huang @Weaviate Abstract: In this talk, JP explains how Weaviate redefines what you thought was possible in a database. JP will begin by showing how you can use Weaviate to effectively search data, before moving on to show you how you can use generative search (retrieval augmented generation) with Weaviate to transform your data at retrieval time with LLMs.	AI Deep Dive: LLMs and Vector Databases

Nov 22 - Berlin AI, Machine Learning and Computer Vision Meetup 2024-11-22 · 16:30

Date and Time

Nov 22, 2024 from 5:30 PM to 8:30 PM

Location

The Meetup will take place at MotionLab.Berlin, Bouchéstraße 12/Halle 20 in Berlin

When the Medium is the Message: Addressing Input Biases in Multimodal/Multilingual Models

An embedding model is trained to produce outputs that ensure that semantic similarity is preserved as distance in embedding spaces — like is near like and far from unlike. But models trained with diverse kinds of inputs, i.e. different media and different languages, learn to treat those properties as semantic properties. Two pictures are more “semantically alike” than a picture and a descriptive text that matches it. Similar problems arise with multilingual models: Two English sentences are more alike than an English sentence and a Chinese translation. This undermines the general utility of embedding models. This presentation shows evidence of where this comes from and offers approaches to mitigate the problem.

About the Speaker

Scott Martens is a long-term veteran of AI and NLP research, having started working at AI start-ups in 1994, and a KU Leuven graduate with a doctorate in linguistics. His background includes machine translation development and the intersection between linguistics, philology, and modern AI. Dr. Martens is a Senior Content Manager and Evangelist at Jina AI in Berlin.

Vector Streaming: The Memory Efficient Indexing for Vector Databases

Vector databases are everywhere, powering LLMs. Indexing vectors, especially multivector embeddings like ColPali and Colbert, at a bulk is memory intensive. Vector streaming solves this problem by parallelizing the tasks of parsing, chunking, and embedding generation and indexing it continuously chunk by chunk instead of bulk. This not only increase the speed but also makes the whole task more optimized and memory efficient. Supports, Weaviate, Elastic and Pinecone.

About the Speaker

Sonam Pankaj is a GenerativeAI Evangelist at Articul8-ai and the co-creator and maintainer of the open-source library called Embed-Anything, which helps to create local dense, splade, and multimodal embeddings and index them to vector databases; it’s built-in Rust for speed and efficiency . She worked previously at Qdrant Engine and Rasa. Previously, she also worked as an AI researcher at Saama and has worked extensively on clinical trial analytics. She is passionate about topics like metric learning and biases in language models. She has also published a paper in the most reputed journal of computational linguistics, COLING, in ACL Anthology.

How to Unlock More Value from Self-Driving Datasets

AV/ADAS is one of the most advanced fields in Visual AI. However, getting your hands on a high quality dataset can be tough, let alone working with them to get a model to production. In this talk, I will show you the leading methods and tools to help visualize as well take these datasets to the next level. I will demonstrate how to clean and curate AV datasets as well as perform state of the art augmentations using diffusion models to create synthetic data that can empower the self driving car models of the future,

About the Speaker

Daniel Gural is a seasoned Machine Learning Engineer at Voxel51 with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data.

When the Medium is the Message: Addressing Input Biases in Multimodal/Multilingual Models

Thanks to deep learning, autonomous cars equipped with cameras and LiDAR can accurately recognize common objects such as cars, streets, and pedestrians, significantly enhancing their understanding of the environment. However, these models often display overconfidence, which can result in misidentifications. For example, consider an exaggerated scenario where an elephant on the street might be mistakenly identified as a trunk because the model has not been trained to recognize elephants. This issue stems from the models’ design to make decisions rather than acknowledge uncertainty by saying ‘I don’t know.’ In this talk, we will discuss how models can recognize their limitations and avoid making uncertain decisions, particularly through the lens of an autonomous car

About the Speaker

Hanieh Shojaei is a PhD researcher at the Institute of Cartography and Geoinformatics (IKG) at Leibniz University Hannover, specializing in uncertainty estimation and reliability of AI models. Her research focuses on using deep learning for LiDAR scene segmentation to enhance environmental perception and assess prediction reliability for autonomous vehicles.

Nov 22 - Berlin AI, Machine Learning and Computer Vision Meetup

Building with AI: Navigate Scaling 2024-09-19 · 16:00

Important: register on the event website for admission (due to room capacity and building security, it is REQUIRED to register on AICamp website for admission)

Description: Welcome to the monthly AI meetup in Paris. This time we are joining forces with our friend from Weaviate and Koyeb to bring the full power of LLMs in production to you.

Join us for our event on building with AI as we tackle how you can navigate scaling your AI-Native applications. This is an event series designed to guide AI practitioners, engineers, and business leaders through the seemingly complicated journey of scaling AI-Native solutions. Be prepared for a night of deep technical talks, food/drink, networking with speakers and fellow developers.

Agenda: - 6:00pm\~6:40pm: Checkin\, food and networking - 6:40pm\~6:45pm: Welcome\, Community update - 6:45pm\~8:15pm: Tech talks and Q&A - 8:15pm\~9:00pm: Open discussion\, Mixer and Closing.

Speakers/Topics: Tech Talk: What they don't tell you about using Vector Databases Speaker: Daniel Phiri (Weaviate) Abstract: Cool, I have a Vector database, now what? This talk answers this question, as get into implementation details that can help you scale your project and make the best out of the technology without burning a hole in your pocket.

Tech Talk: Simply (auto)-scaling high-performance LLMs with serverless deployments Speaker: Yann Léger (Koyeb) Abstract: Learn how to automatically scale LLMs in production, optimize your resource usage, and improve performance for your AI-driven applications.

Tech Talk: LLMOps Speaker: Dan Constantin (Chainlit) Abstract: coming soon

Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Paris or 400K+ worldwide.

AICamp Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations

Building with AI: Navigate Scaling

AI Meetup (with Weaviate): AI and LLMs in Production 2024-03-13 · 17:00

*** RSVP: https://www.aicamp.ai/event/eventdetails/W2024031309 (Due to room capacity and building security, it's required to pre-register at the link for admission).

Welcome to the monthly in-person AI meetup in Berlin, in collaboration with Weaviate. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, networking with speakers and fellow developers.

Agenda: * 6:00pm\~7:00pm: Checkin and networking * 7:00pm\~9:00pm: Tech talks and Q&A * 9:00pm: Open discussion and Mixer

Tech Talk: Understand Social Media with Vector Search Speaker: Adam Chan (Weaviate) Abstract: In this talk, I will discuss and demo in real time some automation that is used to augment social media analytics through the power of vector databases and large language models.

Tech Talk: Cognee - semantic LLM context and chatbot integration Speaker: Vasilije Markovic (Topoteretes) Abstract: We will show how to use cognee to enrich LLM context and explain how LLMs, vector stores, graph databases and relational databases can be used together to decompose text, understand underlying semantic layers, connect them and provide LLMs with better context.

Tech Talk: The Power of Context: Exploring Google Gemini 1.5 Speaker: Gerard Sans (Google Developer Expert) Abstract: In this talk, get an exclusive first look at Google's groundbreaking Gemini 1.5 in action! This multimodal language model features a Mixture of Experts (MoE) architecture and a revolutionary 1 million token context window, allowing it to understand complex inputs with exceptional depth. We'll explore live demos showcasing how this translates to vastly improved AI assistance for users and its impact on RAG systems.

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 8,000+ AI developers in Berlin or 300K+ worldwide.

Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations

Join Slack/Discord (link is at the bottom of the page) *

AI Meetup (with Weaviate): AI and LLMs in Production

AI meetup: LLMs in Production with Hugging Face and Weaviate 2024-02-29 · 16:30

** Important: RSVP https://www.aicamp.ai/event/eventdetails/W2024022909 (Due to the limited room capacity, all guests must pre-register on the link above for admission)

Description: Welcome to the monthly in-person AI meetup in Paris. Join us for deep-dive tech talks on AI, GenAI, LLMs, and machine learning, food/drink, and networking with speakers and fellow developers.

This time we are joining forces with our friend from Hugging Face and Weaviate to bring the full power of LLMs in production to you.

Agenda: * 5:30pm\~6:15pm: Checkin, Networking & Welcome * 6:15pm\~7:30pm: Tech talks and Q&A * 7:30pm\~9:00pm: Food & Drinks & more Networking

Tech Talk: Cutting edge open-source LLM ecosystem at Hugging Face Speaker: Merve Noyan @Hugging Face

Tech Talk: Some things about Multimodal Search Speaker: Daniel Phiri @Weaviate

Tech Talk: RAG in Production - a legal data story Speaker: Baudouin Arbarétier @Ordalie.ai Abstract: This talk is about the challenges of RAG on legal data, the fine-tuning of embeddings models for language/domain adaptation and how to build production ready AI-native applications on top of a modern tech stack.

Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue: Hugging Face Paris HQ, 124 Rue Réaumur, 75002 Paris

Sponsors: - Hugging Face\, Weaviate - We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces\, providing food\, or cash sponsorship. Sponsors will have the chance to speak at the meetups\, receive prominent recognition\, and gain exposure to our extensive membership base of 10\,000+ local or 300K+ developers worldwide.

Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #paris channel) \| Join Discord

AI meetup: LLMs in Production with Hugging Face and Weaviate

AI meetup: LLMs in Production with Hugging Face and Weaviate 2024-02-29 · 16:30

** Important: RSVP https://www.aicamp.ai/event/eventdetails/W2024022909 (Due to the limited room capacity, all guests must pre-register on the link above for admission)

Description: Welcome to the monthly in-person AI meetup in Paris. Join us for deep-dive tech talks on AI, GenAI, LLMs, and machine learning, food/drink, and networking with speakers and fellow developers.

This time we are joining forces with our friend from Hugging Face and Weaviate to bring the full power of LLMs in production to you.

Agenda: * 5:30pm\~6:15pm: Checkin, Networking & Welcome * 6:15pm\~7:30pm: Tech talks and Q&A * 7:30pm\~9:00pm: Food & Drinks & more Networking

Tech Talk: Cutting edge open-source LLM ecosystem at Hugging Face Speaker: Merve Noyan @Hugging Face

Tech Talk: Some things about Multimodal Search Speaker: Daniel Phiri @Weaviate

Tech Talk: RAG in Production - a legal data story Speaker: Baudouin Arbarétier @Ordalie.ai **Abstract:**This talk is about the challenges of RAG on legal data, the fine-tuning of embeddings models for language/domain adaptation and how to build production ready AI-native applications on top of a modern tech stack.

Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue: Hugging Face Paris HQ, 124 Rue Réaumur, 75002 Paris

Sponsors: - Hugging Face\, Weaviate - We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces\, providing food\, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups\, receive prominent recognition\, but also gain exposure to our extensive membership base of 10\,000+ AI developers in Paris or 300K+ worldwide.

Community on Slack/Discord

Event chat: chat and connect with speakers and attendees
Sharing blogs, events, job openings, projects collaborations
Join Slack/Discord (link is at the bottom of the page)

AI meetup: LLMs in Production with Hugging Face and Weaviate

AI Meetup (February): AI, GenAI, LLMs and ML 2024-02-22 · 22:00

RSVP: https://www.aicamp.ai/event/eventdetails/W2024022214 (Due to room capacity and building security, you must pre-register at the link for admission)

Description: Welcome to our in-person AI meetup in New York. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers & fellow developers.

Tech Talk: Searching and Reasoning Over Multimedia Data with Vector Databases and LMMs

Speaker: Zain Hasan (Weaviate) Abstract: In this talk, Zain Hasan will discuss how we can use open-source multimodal embedding models in conjunction with large generative multimodal models that can that can see, hear, read, and feel data(!), to perform cross-modal search(searching audio with images, videos with text etc.) and multimodal retrieval augmented generation (MM-RAG) at the billion-object scale with the help of open source vector databases. I will also demonstrate, with live code demos, how being able to perform this cross-modal retrieval in real-time can enables users to use LLMs that can reason over their enterprise multimodal data. This talk will revolve around how we can scale the usage of multimodal embedding and generative models in production.

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 20,000+ local or 300K+ developers worldwide.

Community on Slack/Discord - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations - Join Slack/Discord

AI Meetup (February): AI, GenAI, LLMs and ML

AI Meetup: End of Year Celebration for AI, GenAI, LLMs and ML 2023-12-06 · 17:00

*** RSVP: https://www.aicamp.ai/event/eventdetails/W2023120609

As the year winds down and the holiday spirits ramp up, we invite you to the most electrifying AI meetup (end-of-year edition). Instead of our usual scheduled talks, we will throw the most exciting holiday bash for people who build AI!

Join AI developers, ML engineers, Data scientists and practitioners to celebrate all your hard work this year.

Agenda:

6:00PM: Checkin, Food, Networking
6:30PM: Welcome/community update
6:45PM: Tech talks, Q&A
8:00PM: AI Community showcase, Happy Hour networking

Tech Talk: Bring your AI application from Prototype to Production Speaker: Philip Vollet, Edward Schmuhl @Weaviate Abstract: In this talk, we will give you insights on how to build ai-native applications with the power of LLMs at scale. Based on a real-life example we will cover: - Core concepts and aspects of (long context) Retrieval Augmented Generation - The role of vector databases in RAG - Easy integration with leading players in the AI open-source ecosystem - Choosing various deployment methods - What to keep in mind for production-ready applications (e.g scalability\, multi-tenancy and more)

Tech Talk: Building flexible and production-grade RAG applications Speaker: Mathis Lucka @Deepset Abstract: Learn how Haystack lets you take matters into your own hands when implementing RAG applications. You‘ll walk away with a better understanding of version 2.0 of Haystack and how it streamlines the LLM application building experience.

Tech Talk: Machine Learning Project Pitfalls Speaker: Andrey Holz @EPAM Systems Abstract: This presentation addresses the multifaceted challenges of machine learning (ML) projects, with a focus on striking a balance between technical expertise and strategic business alignment.

Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking, we invite you to submit topics for consideration: Submit Topics

Startup Showcase: We have 5\~10 demo desks available for the community showcases and \~5 minutes quick demo on the stage. We will have judges and attendees vote for projects, with 3 amazing awards (best of innovation, best of technology, popular vote). You are invited to apply here Community Showcase

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 8,000+ local or 300K+ developers worldwide.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (browse/search and join #berlin channel)

AI Meetup: End of Year Celebration for AI, GenAI, LLMs and ML

AI Deep Dive: LLMs and Vector Databases 2023-09-06 · 17:00

Welcome to our in-person AI meetup, in collaboration with Google Developers Group. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers&peers developers, and win lucky draw prizes.

Pre-registration is required: https://www.aicamp.ai/event/eventdetails/W2023090610

[RSVP instructions]

Pre-register at the event website. (venue security may not let you in if you don't pre-register)
Contact us to submit topics and/or sponsor the meetup on venue/food/swags/prizes. https://forms.gle/JkMt91CZRtoJBSFUA
Community on Slack for events chat, speakers office hour and learning resources, job openings and projects collaboration. join slack (search and join #london channel) *

Description: This meet-up is a unique opportunity to connect with fellow AI enthusiasts, industry practitioners, and researchers in a dynamic and interactive setting. Whether you are a seasoned AI professional or just curious about the latest advancements in Generative AI, LLMs and Vector Databases, this meet-up is for you! Join us for an insightful and thought-provoking discussion on the forefront of AI innovation and practices.

Agenda (BST): * 6:00pm\~6:30pm: Checkin, Food/Snacks/Drink and networking * 6:30pm\~6:45pm: Welcome/community update * 6:45pm\~7:45pm: Tech talks * 7:45pm: Open discussion & Mixer

Tech Talk 1: Using Vector Databases with Multimodal Embeddings and Search At Scale Speaker: Zain Hasan @Weaviate Abstract: Many real-world problems are inherently multimodal, from the communicative modalities humans use such as spoken language and gestures to the force, proprioception, and visual sensors ubiquitous in robotics. In order for machine learning models to address these problems and interact more naturally and holistically with the world around them and ultimately be more general and powerful reasoning engines we need them to understand data across all of its corresponding image, video, text, audio, and tactile representations.

In this talk we will discuss how we can use open-source multimodal models, that can see, hear, read, and feel data(!), to perform cross-modal search(searching audio with images, videos with text etc.) at the billion-object scale with the help of open source vector databases. I will also demonstrate, with live code demos and large-scale datasets, how being able to perform this cross-modal retrieval in real-time can help users add natural search interfaces to their apps. This talk will revolve around how we scaled the usage of multimodal embedding models in production and how you can add cross-modal search into your apps.

Tech Talk 2: Bringing LLMs to Your Data Speaker: JP Huang @Weaviate Abstract: In this talk, JP explains how Weaviate redefines what you thought was possible in a database. JP will begin by showing how you can use Weaviate to effectively search data, before moving on to show you how you can use generative search (retrieval augmented generation) with Weaviate to transform your data at retrieval time with LLMs.

AI Deep Dive: LLMs and Vector Databases

Activities & events