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Let’s Talk Tech: How to Build and Govern Agentic Systems
2025-11-26 · 17:30
Join us on November 26 to dive into the best practices for building agentic AI safely and effectively with Guillaume Laforge, Developer Advocate at Google, and Maxime Appé, Manager, Product Management at Dataiku. 6:30 to 7:15 pm: Guillaume Laforge, Google AI Agents: The New Frontier for LLMs Know your way around large language models? Mastered retrieval-augmented generation to help an LLM search your documents? It’s time to take the next step with AI agents. In this session, you’ll learn what makes a system “agentic”, the limitations of LLMs, and how to build different types of agents in Java using LangChain4j and the Agent Development Kit (ADK). Expect practical examples of agent patterns that go beyond a simple LLM call to respond intelligently, take action, and adapt to user needs. Building retrieval-augmented generation (RAG) apps is just the start. Learn what comes next with Agents. 7:15 to 8 pm: Maxime Appé, Dataiku Navigating the AI Safety Landscape: Learning from CeSIA’s Bootcamp AI is evolving fast, and safety research is racing to keep up. In this session, we’ll break down key insights from the AI Safety Bootcamp hosted by the Centre for AI Security. We’ll explore how to navigate AI’s rapid progress, unpacking what “intelligence” or “model agency” really mean, before turning to the risks and mitigation strategies that define the AI safety landscape today. 8 - 10PM: Meet & greet with drinks Dataiku will only use your personal information to provide the product or service you requested and contact you with related content that may interest you. You may unsubscribe from these communications at any time. For more information on unsubscribing and how we protect and respect your privacy, check out our Privacy Policy. |
Let’s Talk Tech: How to Build and Govern Agentic Systems
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Plongée au coeur des LLM à long contexte
2025-06-17 · 16:30
Laurent Picard
– Developer Relations Engineer
@ Google Cloud
Les grands modèles de langage (LLM) ont révolutionné la résolution de problèmes en langue naturelle, mais connaissez-vous leurs limites ? Les LLM ont des tailles de contexte variant considérablement, allant de quelques milliers à plusieurs millions de tokens, mais que cela implique-t-il concrètement ? Dans cette session, nous aborderons les points suivants via exemples illustrés et démos : Qu’est-ce que la fenêtre de contexte d’un LLM ? Quelle est la relation entre données, tokens, performances et coûts ? En pratique, comment peut-on pousser les LLM dans leurs limites ? Quels sont les cas d’usage uniquement résolus grâce à un long contexte ? Quelles sont les différences avec une approche RAG (Retrieval Augmented Generation) ? |
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Agents intelligents, la nouvelle frontière des LLMs
2025-06-17 · 16:30
Guillaume Laforge
– Developer Advocate
@ Google
Dans cette session, nous commencerons d’abord par définir ce que sont les agents, ou tout du moins ce qui rends un système “agentique”. Nous expliquerons quelles sont les limites des LLMs. Ensuite, au travers d’exemples concrets, nous implémenterons différents agents en Java, en utilisant le framework LangChain4j et Agent Development Kit (ADK) pour Java, pour illustrer certains patterns typiques des agents et pour comprendre comment aller plus loin qu’un simple appel à un LLM pour obtenir des réponses qui répondront aux besoins de vos utilisateurs, voire même pour déclencher des actions avec le système environnant. Et si vous souhaitez également en apprendre plus sur ces mystérieux acronymes que sont MCP (Model Context Protocol) ou A2A (Agent to Agent protocol), vous êtes au bon endroit ! Etes vous prêt pour la prochaine hype des agents ? Venez le découvrir dans cette session ! |
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AI meetup (In-person): Generative AI, LLMs and Google Vertex AI
2023-10-19 · 16:00
Pre-registration is required for admission, complete RSVP here: https://www.aicamp.ai/event/eventdetails/W2023101810 Description: Welcome to our in-person AI meetup in Paris. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers & fellow developers, and win lucky draw prizes. Agenda:
Tech Talk 1: Building a Petabyte-Scale Vector Store: Powering Future AGI Speaker: Cedrick Lunven @Datastax Abstract: A laptop proof of concept won’t cut it for this impending era of generative AI. Let’s dig into the mechanics of building and using a petabyte-scale vector store and the future of handling data in generative AI models. This talk will focus on the work in the Apache Cassandra® project to develop a vector store capable of handling petabytes of data, discussing why this capacity is critical for future AI applications. I will also connect how this pertains to the exciting new generation of AI technologies like Improved Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Forward-Looking Active Retrieval Augmented Generation (FLARE) that all contribute to the growing need for such scalable solutions. Finally, we’ll discuss the importance of planning for future scalability and how to effectively manage AI agents in this new age of data. Tech Talk 2: Generative AI in practice: Concrete LLM use cases in Java, with the PaLM API Speaker: Guillaume Laforge @Google Cloud Abstract: Large language models (LLMs) are a powerful new technology that can be used for a variety of tasks, including generating text, translating languages, and writing different kinds of creative content. However, LLMs can be difficult to use, especially for developers who are not proficient in Python, the lingua franca for AI. So what about us Java developers? How can we make use of Generative AI? This presentation will go through how to use LLMs in Java without the need for Python. We will use the PaLM API, provided by Google Cloud Vertex AI services, to perform a variety of tasks, such as searching through documentation, generating kids stories, summarizing content, extracting keywords or entities, and more. 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 Partners/Sponsors: We are actively seeking sponsors to support our community. Whether it's 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 through post-event emails sent 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 (search and join the #paris channel) Community Managers: we are looking for passionate community managers who are enthusiastic about nurturing tech communities. Join us in planning, hosting meetup events, and build and grow the local AI/ML developer community. In addition to broadening your personal network and acquiring valuable tech skills, we'll make sure to reward your dedication and time. Venues: We are currently searching for venues to host the monthly AI meetup, which typically attracts 50\~100 attendees. This is an excellent opportunity for your company/team to gain exposure to a large tech community. Please don't hesitate to suggest potential venues if you have leads. |
AI meetup (In-person): Generative AI, LLMs and Google Vertex AI
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AI meetup (In-person): Generative AI, LLMs and Google Vertex AI
2023-10-19 · 16:00
Pre-registration is required for admission, complete RSVP here: https://www.aicamp.ai/event/eventdetails/W2023101810 Description: Welcome to our in-person AI meetup in Paris. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers & fellow developers, and win lucky draw prizes. Agenda:
Tech Talk 1: Building a Petabyte-Scale Vector Store: Powering Future AGI Speaker: Cedrick Lunven @Datastax Abstract: A laptop proof of concept won’t cut it for this impending era of generative AI. Let’s dig into the mechanics of building and using a petabyte-scale vector store and the future of handling data in generative AI models. This talk will focus on the work in the Apache Cassandra® project to develop a vector store capable of handling petabytes of data, discussing why this capacity is critical for future AI applications. I will also connect how this pertains to the exciting new generation of AI technologies like Improved Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Forward-Looking Active Retrieval Augmented Generation (FLARE) that all contribute to the growing need for such scalable solutions. Finally, we’ll discuss the importance of planning for future scalability and how to effectively manage AI agents in this new age of data. Tech Talk 2: Generative AI in practice: Concrete LLM use cases in Java, with the PaLM API Speaker: Guillaume Laforge @Google Cloud Abstract: Large language models (LLMs) are a powerful new technology that can be used for a variety of tasks, including generating text, translating languages, and writing different kinds of creative content. However, LLMs can be difficult to use, especially for developers who are not proficient in Python, the lingua franca for AI. So what about us Java developers? How can we make use of Generative AI? This presentation will go through how to use LLMs in Java without the need for Python. We will use the PaLM API, provided by Google Cloud Vertex AI services, to perform a variety of tasks, such as searching through documentation, generating kids stories, summarizing content, extracting keywords or entities, and more. 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 Partners/Sponsors: We are actively seeking sponsors to support our community. Whether it's 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 through post-event emails sent 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 (search and join the #paris channel) Community Managers: we are looking for passionate community managers who are enthusiastic about nurturing tech communities. Join us in planning, hosting meetup events, and build and grow the local AI/ML developer community. In addition to broadening your personal network and acquiring valuable tech skills, we'll make sure to reward your dedication and time. Venues: We are currently searching for venues to host the monthly AI meetup, which typically attracts 50\~100 attendees. This is an excellent opportunity for your company/team to gain exposure to a large tech community. Please don't hesitate to suggest potential venues if you have leads. |
AI meetup (In-person): Generative AI, LLMs and Google Vertex AI
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Google IO Extended Paris
2023-08-01 · 16:30
UPDATE IMPORTANT :En raison d'importants travaux de rénovation, l'événement est reporté pour mardi le 01 Août 2023. Mieux vaut tard que jamais ; )📢 Pour les participants pour cet meetup, on vous réserve une petite 🎁 surprise à votre arrivée 🥳On s'excuse pour ce changement de dernière minute, mais nous voulons nous assurer que nos intervenants et nos invités pourront se rendre à l'événement en toute sécurité et sans problème. Les participants auront la chance d’explorer les dernières mises à jour et annonces faites pendant Google I / O, obtenant des informations précieuses sur l’avenir des plateformes et des services de Google AI et Cloud. Des nouvelles API et outils de développement aux technologies de pointe, vous découvrirez comment ces avancées peuvent être mises à profit pour construire des applications innovantes et améliorer vos projets existants. Recap Cloud par Seifeddin MANSRI - Sfeir (Cloud Engineering Director) Duet AI Vertex AI Text Embeddings API Workspace additions .... Recap AIML par Guillaume Laforge - Google Cloud (Developer Advocate) PaLM API and MakerSuite Firebase AI extensions MediaPipe Studio and solutions Créer des histoires pour enfants avec l'IA générative .... Agenda 6:30 PM: Accueil / Intro 6:45 PM: Recap Cloud par Seifeddin MANSRI 7:15 PM: Recap AIML par Guillaume LAFORG 7:45 PM: Apéro / Networking Speakers Guillaume Laforge - Google Cloud (Developer Advocate) At Google, Guillaume Laforge is Developer Advocate for the Google Cloud Platform, where he spread the word about the rich set of products and services offered for developers wishing to take advantage of the cloud for their projects and businesses. Seifeddin Mansri - Sfeir (Cloud Engineering Director) Seifeddin is a Cloud Engineering Director at Sfeir, leading the Cloud infrastructure and DevOps activities and managing several teams of Cloud experts. He has actually many Cloud Technical Certifications (GCP, AWS, Kubernetes) and is also an experienced Google Cloud and Kubernetes Trainer. He has also been recognized, since January 2022, as a Google Developer Expert (GDE) on Google Cloud Platf… Host Pritesh BHEEMANEE - T-Systems France (Senior Product Owner) Partners Google Cloud (https://cloud.google.com/) SFEIR (https://www.sfeir.com/en/) Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-paris-presents-google-io-extended-paris/. |
Google IO Extended Paris
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