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Title & Speakers	Event
AWS WUG Cloud Talks: Data Architectures and LLM Evaluation 2025-02-11 · 17:00 Dear all 💜 We are excited to invite you to our next AWS Women’s User Group Berlin session! 🚨Attention🚨 Please note that this user group is specifically for WOMEN and FLINTA (female, lesbian, inter, trans, non-binary, and agender) ONLY. If you do not identify as one of these, please check out the AWS User Group Berlin. 🎟️ RSVP Now: Please register for the event via the Meetup app with a valid name. ✨ The Evening ✨ 📆 Date: 11th February 2025 📍 Venue: Deloitte Office, Hohenzollerndamm 150, 14199 Berlin 🕟 Time: 06:00 PM - 9:00 PM 6:00 PM 🚪 Doors Open, Warming Up, and Networking 6:30 PM 🌟 Talk 1: Empowering Data Mesh Governance with Amazon DataZone Discover how Amazon DataZone simplifies governance for modern data architectures, enabling federated governance, secure access control, and automated metadata management. Learn about the evolution from traditional platforms to data mesh and how it addresses complex data challenges in decentralized environments. 🎤 Speakers: Amelisa Brari: Senior Cloud & Data Engineer Consultant at Deloitte with expertise in designing and managing scalable cloud-based data applications. Olga Woschitz: Cloud Solutions Engineer Consultant at Deloitte, specializing in serverless architectures and optimizing AWS accounts. 7:15 PM ☕ Networking Break 7:45 PM 💡 Talk 2: Evaluating Large Language Models for Your Applications and Why It Matters Confused by the overwhelming metrics for evaluating LLMs? This talk will guide you through key evaluation metrics, tools, and frameworks tailored to specific use cases, including mitigating social biases and extracting interpretable features. Gain clarity on LLM evaluation to build better generative AI applications. 🎤 Speaker: Mia Chang: ML Specialist Solutions Architect at AWS, NLP expert, and author, with extensive experience in AI/ML workloads on the cloud. 8:30 PM - 9:00 PM 🥂 Community Networking HUGE THANKS TO OUR SPONSORS AND HOSTS Session sponsored by: Deloitte WUG is supported by: DEMICON base2services **We inform all attendees that photographs will be taken during the meetup, and they will only be used by the event organizers for documentation and promotional purposes. The AWS Women’s User Group marks the very first official women-centric AWS User Group in DACH and EMEA. This event serves as a secure and supportive platform for women who want to share their AWS knowledge, passion for cloud computing and advance their career through targeted learning opportunities. We extend a warm invitation to FLINTA individuals who are interested in being part of our User Group. Code of Conduct At the AWS Women's User Group in Berlin, we have a strong and unequivocal code of conduct in place to create a safe and empowering environment for all. ** Would you like to host a future AWS Women’s User Group Meetup at your company? Register here. Would you like to speak at AWS Women’s User Group Meetup? Submit your talk here.	AWS WUG Cloud Talks: Data Architectures and LLM Evaluation
Journey into GenAI: Fine-Tuning Stable Diffusion and boosting CX with LLMs 2024-03-19 · 17:00 The next meetup features 2 GenAI talks: (1) fine-tuning image generation models like Stable Diffusion, (2) the transformative impact of Large Language Models (LLMs) on customer service. Agenda: 18:00 - 18:30: Doors open 18:30 - 18:40: Welcome 18:40 - 19:10: Fine-Tune Your Own Stable Diffusion Model - Tips and Tricks Included 19:10 - 19:40: Pizza & Beers 19:40 - 20:10: AI Tools in Action: Enhancing Customer Experience with LLMs at Polestar 20:10 - 21:00: Networking – Fine-Tune Your Own Stable Diffusion Model - Tips and Tricks Included Daniel Pleus - Data Scientist, Schibsted Recently, models and tools like Stable Diffusion, Midjourney, and Dalle-3 have made significant strides in generating high-quality, hyper-realistic images. The innovation doesn't stop with their out-of-the-box capabilities, though. Recent advancements have enabled the fine-tuning of these models on commodity hardware, unlocking new potential for personalized image generation. In this talk, we'll embark on the practical journey of fine-tuning the Stable Diffusion model with an unexpected protagonist: Otto, Schibsted's plush octopus mascot. Using Stable Diffusion, we send him to faraway countries, place him in historical settings, or change his appearance. You'll discover how Stable Diffusion operates, learn how to fine-tune it with techniques like textual inversion and LoRA, and receive many tips about the optimal settings. We will deep dive into prompts, guidance factors, denoising steps, and random seeds. By the end of this talk, you should feel comfortable conducting your own experiments. Speakers Bio: Daniel Pleus is a key member of Schibsted's AI Enablement Program as a Data Scientist Lead, where he assists over 60 Schibsted brands in discovering AI use cases and developing prototypes. His recent focus has been on Generative AI, including fine-tuning and deploying models. Before joining Schibsted, Daniel worked in various data and analytics roles and has an academic background in Economics. Title: AI Tools in Action: Enhancing Customer Experience with LLMs at Polestar Olga Larina - AI & Data Scientist @ Polestar Customer Experience Department Join me for a presentation where I'll delve into the innovative toolkit that our team has employed to revolutionize customer service. This year, we’ve rolled out our first solution based on a Large Language Model (LLM), and let me tell you—it’s changing the game. Starting with summarization and information extraction in February 2023, we’ve now set our sights on enhancing our Care Advisors' capabilities with AI that generates responses to customer cases with the precision and expertise of a seasoned professional. Our advisors were excited about our prototype reveal last year. It was clear they were all in, finding the AI support not just cool but also a true timesaver. In my talk, I will reveal how tools like Langchain’s sophisticated models and chains, and LlamaIndex’s robust vector stores, empower LLMs to excel. Consider this a brief but insightful tour into the technology that’s making our customer service smarter, faster, and way more fun. I am thrilled to guide you through the varied applications of AI tools that are proving to be incredibly relevant in today's tech landscape. The journey is just beginning, and the pace of development is nothing short of breathtaking. Every day brings new surprises and possibilities. Come and join my talk! Speakers Bio: At CX, our mission is to mine diverse data types to enhance customer experience, inform business strategy, and streamline operations. Our objectives span traditional data science, including tabular data analysis and natural language processing (NLP). This year, we're delving into the transformative realm of large language models, exploring their vast potential. Previously, I contributed as a Data Scientist at Nexer working on different types of projects including NLP, and CV (Computer Vision), and I have a background in software development, where I engaged in automation testing, analysis, and product ownership. My academic journey began with mathematics at a university in Russia. – About the event Date: March 19th, 18:00 - 20:30 Location: Shibsted’s Social Kitchen (Kungsbrohuset, Kungsbron 13, 111 22 Stockholm) Directions: Right next to the central station. Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge. Capacity: Space is limited to 100 participants. If you are signed up but unable to attend, please change your RSVP by February 21st. Food and drinks: Food and drinks will be provided. Questions: Please contact the meetup organizers. – Code of Conduct The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers.	Journey into GenAI: Fine-Tuning Stable Diffusion and boosting CX with LLMs
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 (February): AI and Generative AI and LLMs 2024-02-22 · 18:00 * RSVP: https://www.aicamp.ai/event/eventdetails/W2024022210 (Due to limited room capacity, you must pre-register at the link for admission). Welcome to the monthly in-person AI meetup in London. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers. Agenda:** * 6:00pm\~7:00pm: Checkin, Food/drink and Networking * 7:00pm\~9:00pm: Tech talks and Q&A * 9:00pm: Open discussion and Mixer Tech Talk: Deploy self-hosted open-source AI solutions Speaker: Dmitri Evseev @Arbitration City Abstract: I will share practical insights from my journey from law firm partner to AI startup founder, focusing on deploying self-hosted, open-source AI solutions in the legal sector and beyond. I will discuss the benefits of self-hosting over third-party APIs, the challenges of implementing these systems for production use, and methods to optimise GPU usage with open-source tools. The talk will also cover approaches to integrate containerised architectures and encryption for secure, scalable AI deployment, aiming to assist the LLMOps community and others exploring self-hosted AI and retrieval-augmented generation (RAG). Tech Talk: Falcon OS - An open source LLM Operating System Speaker: Heiko Hotz (Google) Abstract: In this talk I will introduce the Falcon OS project, a collaboration with the Technology Innovation Institute and Weights & Biases. Falcon OS is a new operating system project centered around the open-source Falcon 40B LLM. It aims to simplify complex tasks through natural language, bridging the gap between users and computers. This talk will explore its potential to transform AI applications and what it takes for an LLM to be able to reason and act, a key capability for such a system. Tech Talk: Navigating LLM Deployment: Tips, Tricks, and Techniques Speaker: Meryem Arik (TitanML) Abstract: Self-hosted Language Models are going to power the next generation of applications in critical industries like financial services, healthcare, and defence. Self-hosting LLMs, as opposed to using API-based models, comes with its own host of challenges - as well as needing to solve business problems, engineers need to wrestle with the intricacies of model inference, deployment and infrastructure. In this talk we are going to discuss the best practices in model optimisation, serving and monitoring - with practical tips and real case-studies. 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 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 #london channel) \\| Join Discord	AI Meetup (February): AI and Generative AI and LLMs
AI meetup (February): Generative AI and LLMs in Action 2024-02-01 · 17:30 RSVP: https://www.aicamp.ai/event/eventdetails/W2024020109 *** Description: Welcome to the monthly in-person AI meetup in Paris. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers and fellow developers. Tech Talk: Cloud infrastructure for LLM Speaker: Fabien Da Silva @Scaleway Abstract: In this talk, I will detail what kind of infrastructures are necessary to support Large Language Model training and inference, and how they are built. Tech Talk: How to deploy a LLM in an Enterprise environment Speaker: Loic Boutet @Safebrain Abstract:Enterprise customer IT environment can have specificities that makes it challenging to deploy Large Language Models as we know them. In this talk, I will detail his journey in implementing such models and the best practices he learned. Tech Talk: Symbolic AI in a Generative AI world Speaker: Killian Vermersch @Golem.ai Abstract:Symbolic AI are human readable non ML methods to solve problems dating back from the 50s. How is it possible to use them in our modern AI paradigm and what are their benefits ? Tech Talk: How to explain LLMs ? First evaluate Speaker: Bastien Zimmermann @Craft AI Abstract:Large Language Model explainability is a hot topic in ML research. I will detail why LLM evaluation methods allow us to better understand their internal behavior, and how they work. 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 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 (February): Generative AI and LLMs in Action

AWS WUG Cloud Talks: Data Architectures and LLM Evaluation 2025-02-11 · 17:00

Dear all 💜 We are excited to invite you to our next AWS Women’s User Group Berlin session! 🚨Attention🚨 Please note that this user group is specifically for WOMEN and FLINTA (female, lesbian, inter, trans, non-binary, and agender) ONLY. If you do not identify as one of these, please check out the AWS User Group Berlin.** 🎟️ RSVP Now: Please register for the event via the Meetup app with a valid name.

✨ The Evening ✨ 📆 Date: 11th February 2025 📍 Venue: Deloitte Office, Hohenzollerndamm 150, 14199 Berlin 🕟 Time: 06:00 PM - 9:00 PM

6:00 PM 🚪 Doors Open, Warming Up, and Networking

6:30 PM 🌟 Talk 1: Empowering Data Mesh Governance with Amazon DataZone Discover how Amazon DataZone simplifies governance for modern data architectures, enabling federated governance, secure access control, and automated metadata management. Learn about the evolution from traditional platforms to data mesh and how it addresses complex data challenges in decentralized environments. 🎤 Speakers:

Amelisa Brari: Senior Cloud & Data Engineer Consultant at Deloitte with expertise in designing and managing scalable cloud-based data applications.
Olga Woschitz: Cloud Solutions Engineer Consultant at Deloitte, specializing in serverless architectures and optimizing AWS accounts.

7:15 PM ☕ Networking Break

7:45 PM 💡 Talk 2: Evaluating Large Language Models for Your Applications and Why It Matters Confused by the overwhelming metrics for evaluating LLMs? This talk will guide you through key evaluation metrics, tools, and frameworks tailored to specific use cases, including mitigating social biases and extracting interpretable features. Gain clarity on LLM evaluation to build better generative AI applications. 🎤 Speaker:

Mia Chang: ML Specialist Solutions Architect at AWS, NLP expert, and author, with extensive experience in AI/ML workloads on the cloud.

8:30 PM - 9:00 PM 🥂 Community Networking

HUGE THANKS TO OUR SPONSORS AND HOSTS Session sponsored by: Deloitte WUG is supported by: DEMICON base2services

******We inform all attendees that photographs will be taken during the meetup, and they will only be used by the event organizers for documentation and promotional purposes.** The AWS Women’s User Group marks the very first official women-centric AWS User Group in DACH and EMEA. This event serves as a secure and supportive platform for women who want to share their AWS knowledge, passion for cloud computing and advance their career through targeted learning opportunities. *We extend a warm invitation to FLINTA individuals who are interested in being part of our User Group. Code of Conduct At the AWS Women's User Group in Berlin, we have a strong and unequivocal code of conduct in place to create a safe and empowering environment for all. *** Would you like to host a future AWS Women’s User Group Meetup at your company? Register here. Would you like to speak at AWS Women’s User Group Meetup? Submit your talk here.

AWS WUG Cloud Talks: Data Architectures and LLM Evaluation

Journey into GenAI: Fine-Tuning Stable Diffusion and boosting CX with LLMs 2024-03-19 · 17:00

The next meetup features 2 GenAI talks: (1) fine-tuning image generation models like Stable Diffusion, (2) the transformative impact of Large Language Models (LLMs) on customer service.

Agenda: 18:00 - 18:30: Doors open 18:30 - 18:40: Welcome 18:40 - 19:10: Fine-Tune Your Own Stable Diffusion Model - Tips and Tricks Included 19:10 - 19:40: Pizza & Beers 19:40 - 20:10: AI Tools in Action: Enhancing Customer Experience with LLMs at Polestar 20:10 - 21:00: Networking

–

Fine-Tune Your Own Stable Diffusion Model - Tips and Tricks Included Daniel Pleus - Data Scientist, Schibsted

Recently, models and tools like Stable Diffusion, Midjourney, and Dalle-3 have made significant strides in generating high-quality, hyper-realistic images. The innovation doesn't stop with their out-of-the-box capabilities, though. Recent advancements have enabled the fine-tuning of these models on commodity hardware, unlocking new potential for personalized image generation.

In this talk, we'll embark on the practical journey of fine-tuning the Stable Diffusion model with an unexpected protagonist: Otto, Schibsted's plush octopus mascot. Using Stable Diffusion, we send him to faraway countries, place him in historical settings, or change his appearance. You'll discover how Stable Diffusion operates, learn how to fine-tune it with techniques like textual inversion and LoRA, and receive many tips about the optimal settings. We will deep dive into prompts, guidance factors, denoising steps, and random seeds. By the end of this talk, you should feel comfortable conducting your own experiments.

Speakers Bio: Daniel Pleus is a key member of Schibsted's AI Enablement Program as a Data Scientist Lead, where he assists over 60 Schibsted brands in discovering AI use cases and developing prototypes. His recent focus has been on Generative AI, including fine-tuning and deploying models. Before joining Schibsted, Daniel worked in various data and analytics roles and has an academic background in Economics.

Title: AI Tools in Action: Enhancing Customer Experience with LLMs at Polestar Olga Larina - AI & Data Scientist @ Polestar Customer Experience Department

Join me for a presentation where I'll delve into the innovative toolkit that our team has employed to revolutionize customer service. This year, we’ve rolled out our first solution based on a Large Language Model (LLM), and let me tell you—it’s changing the game.

Starting with summarization and information extraction in February 2023, we’ve now set our sights on enhancing our Care Advisors' capabilities with AI that generates responses to customer cases with the precision and expertise of a seasoned professional. Our advisors were excited about our prototype reveal last year. It was clear they were all in, finding the AI support not just cool but also a true timesaver.

In my talk, I will reveal how tools like Langchain’s sophisticated models and chains, and LlamaIndex’s robust vector stores, empower LLMs to excel. Consider this a brief but insightful tour into the technology that’s making our customer service smarter, faster, and way more fun.

I am thrilled to guide you through the varied applications of AI tools that are proving to be incredibly relevant in today's tech landscape. The journey is just beginning, and the pace of development is nothing short of breathtaking. Every day brings new surprises and possibilities. Come and join my talk!

Speakers Bio: At CX, our mission is to mine diverse data types to enhance customer experience, inform business strategy, and streamline operations. Our objectives span traditional data science, including tabular data analysis and natural language processing (NLP). This year, we're delving into the transformative realm of large language models, exploring their vast potential. Previously, I contributed as a Data Scientist at Nexer working on different types of projects including NLP, and CV (Computer Vision), and I have a background in software development, where I engaged in automation testing, analysis, and product ownership. My academic journey began with mathematics at a university in Russia. –

About the event

Date: March 19th, 18:00 - 20:30 Location: Shibsted’s Social Kitchen (Kungsbrohuset, Kungsbron 13, 111 22 Stockholm) Directions: Right next to the central station. Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge. Capacity: Space is limited to 100 participants. If you are signed up but unable to attend, please change your RSVP by February 21st. Food and drinks: Food and drinks will be provided. Questions: Please contact the meetup organizers.

–

Code of Conduct The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers.

Journey into GenAI: Fine-Tuning Stable Diffusion and boosting CX with LLMs

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 (February): AI and Generative AI and LLMs 2024-02-22 · 18:00

*** RSVP: https://www.aicamp.ai/event/eventdetails/W2024022210 (Due to limited room capacity, you must pre-register at the link for admission).

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

Agenda: * 6:00pm\~7:00pm: Checkin, Food/drink and Networking * 7:00pm\~9:00pm: Tech talks and Q&A * 9:00pm: Open discussion and Mixer

Tech Talk: Deploy self-hosted open-source AI solutions Speaker: Dmitri Evseev @Arbitration City Abstract: I will share practical insights from my journey from law firm partner to AI startup founder, focusing on deploying self-hosted, open-source AI solutions in the legal sector and beyond. I will discuss the benefits of self-hosting over third-party APIs, the challenges of implementing these systems for production use, and methods to optimise GPU usage with open-source tools. The talk will also cover approaches to integrate containerised architectures and encryption for secure, scalable AI deployment, aiming to assist the LLMOps community and others exploring self-hosted AI and retrieval-augmented generation (RAG).

Tech Talk: Falcon OS - An open source LLM Operating System Speaker: Heiko Hotz (Google) Abstract: In this talk I will introduce the Falcon OS project, a collaboration with the Technology Innovation Institute and Weights & Biases. Falcon OS is a new operating system project centered around the open-source Falcon 40B LLM. It aims to simplify complex tasks through natural language, bridging the gap between users and computers. This talk will explore its potential to transform AI applications and what it takes for an LLM to be able to reason and act, a key capability for such a system.

Tech Talk: Navigating LLM Deployment: Tips, Tricks, and Techniques Speaker: Meryem Arik (TitanML) Abstract: Self-hosted Language Models are going to power the next generation of applications in critical industries like financial services, healthcare, and defence. Self-hosting LLMs, as opposed to using API-based models, comes with its own host of challenges - as well as needing to solve business problems, engineers need to wrestle with the intricacies of model inference, deployment and infrastructure. In this talk we are going to discuss the best practices in model optimisation, serving and monitoring - with practical tips and real case-studies.

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 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 #london channel) \| Join Discord

AI Meetup (February): AI and Generative AI and LLMs

AI meetup (February): Generative AI and LLMs in Action 2024-02-01 · 17:30

** RSVP: https://www.aicamp.ai/event/eventdetails/W2024020109 *******

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

Tech Talk: Cloud infrastructure for LLM Speaker: Fabien Da Silva @Scaleway Abstract: In this talk, I will detail what kind of infrastructures are necessary to support Large Language Model training and inference, and how they are built.

Tech Talk: How to deploy a LLM in an Enterprise environment Speaker: Loic Boutet @Safebrain **Abstract:**Enterprise customer IT environment can have specificities that makes it challenging to deploy Large Language Models as we know them. In this talk, I will detail his journey in implementing such models and the best practices he learned.

Tech Talk: Symbolic AI in a Generative AI world Speaker: Killian Vermersch @Golem.ai **Abstract:**Symbolic AI are human readable non ML methods to solve problems dating back from the 50s. How is it possible to use them in our modern AI paradigm and what are their benefits ?

Tech Talk: How to explain LLMs ? First evaluate Speaker: Bastien Zimmermann @Craft AI **Abstract:**Large Language Model explainability is a hot topic in ML research. I will detail why LLM evaluation methods allow us to better understand their internal behavior, and how they work.

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 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 (February): Generative AI and LLMs in Action

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