Generative AI
16 talks from the 2025 edition.
-
Agentic AI: Build a Multi-Agent Application with CrewAI ▶ Recording 📝 Transcript
Alessandro Romano
This hands-on tutorial will dive into the fundamentals of building multi-agent systems using the CrewAI Python library. Starting from the basics, we’ll cover key concepts, explore advanced features, and guide you...
-
AI Agents of Change: Creating, Reflecting, and Monetizing ▶ Recording 📝 Transcript
Tereza Iofciu, Paloma Oliveira
Create, reflect, and earn—with purpose. In this workshop, you’ll not only build your own AI agent but also confront the ethical questions it raises, from its impact on jobs to its potential for social good. Together,...
-
AI coding agent - what it is, how it works and is it good for developers
Cheuk Ting Ho
In this talk, we will have a deeper technical look at AI coding agents, their design, and how they can carry out coding tasks with the support of large language models. We will look at the journey from the user...
-
Building Serverless Python AI skills as WASM components ▶ Recording 📝 Transcript
Moritz Althaus
Frameworks like llama-stack and langchain allow for quick prototyping of generative AI applications. However, companies often struggle to deploy these applications into production quickly. This talk explores the...
-
Composable AI: Building Next-Gen AI Agents with MCP ▶ Recording 📝 Transcript
Martin Seeler
At Blue Yonder, we're embarking on a journey toward building composable AI agents using Model Context Protocol (MCP). We're discovering firsthand the challenges of integrating diverse products and APIs into useful,...
-
Enhancing RAG with Fast GraphRAG and InstructLab: A Scalable, Interpretable, and Efficient Framework ▶ Recording 📝 Transcript
Tuhin Sharma
Retrieval Augmented Generation (RAG) has become a cornerstone in enriching GenAI outputs with external data, yet traditional frameworks struggle with challenges like data noise, domain specialization, and...
-
From Idea to Integration: An Intro to the Model Context Protocol (MCP) ▶ Recording 📝 Transcript
Julian Beck
The Model Context Protocol (MCP) has emerged as a standard for connecting Large Language Models with diverse data sources and enabling interactions with other systems. In this talk, we’ll introduce the MCP standard...
-
Generative AI Monitoring with PydanticAI and Logfire
Marcelo Trylesinski
In this talk, we will explore how the integration of PydanticAI and Logfire creates a powerful foundation for generative AI applications. We'll demonstrate how these tools combine to form sophisticated AI workflows...
-
Jeannie: An Agentic Field Worker Assistant ▶ Recording 📝 Transcript
Andrei Beliankou, Jose Moreno Ortega
Jeannie is an LLM-based agentic workflow implemented in Python to automate task management for field workers in the energy sector. This system addresses inefficiencies and safety risks in tasks like PV panel...
-
Lessons learned in bringing a RAG chatbot with access to 50k+ diverse documents to production ▶ Recording 📝 Transcript
Bernhard Schäfer, Nico Mohr
Retrieval-Augmented Generation (RAG) chatbots are a key use case of GenAI in organizations, allowing users to conveniently access and query internal company data. A first RAG prototype can often be created in a...
-
LLM Inference Arithmetics: the Theory behind Model Serving ▶ Recording 📝 Transcript
Luca Baggi
Have you ever asked yourself how parameters for an LLM are counted, or wondered why Gemma 2B is actually closer to a 3B model? You have no clue about what a KV-Cache is? (And, before you ask: no, it's not a Redis...
-
Machine Reasoning and System 2 Thinking ▶ Recording 📝 Transcript
Andy Kitchen
Raw large language models struggle with complex reasoning. New techniques have emerged that allow these models to spend more time thinking before giving an answer. Direct token sampling can be seen as system-1...
-
PDFs - When a thousand words are worth more than a picture (or table). ▶ Recording 📝 Transcript
Caio Benatti Moretti
PDF, a must-have in RAG systems, ensures visual fidelity across platforms and devices, at the expense of compromising what would be the core condition for computers to properly process and interpret text: semantics....
-
Secure “Human in the Loop” Interactions for AI Agents ▶ Recording 📝 Transcript
Juan Cruz Martinez
Explore the power of Human-in-the-Loop (HITL) for GenAI agents! Learn how to build AI systems that augment your abilities, not replace your judgment, especially when high-stakes actions are involved. This session...
-
Securing Generative AI: Essential Threat Modeling Techniques
Elizaveta Zinovyeva
Generative AI development introduces unique security challenges that traditional methods often overlook. This talk explores practical threat modeling techniques tailored for AI practitioners, focusing on real-world...
-
Securing RAG Pipelines with Fine Grained Authorization ▶ Recording 📝 Transcript
Sohan Maheshwar
Using LLMs and AI in your Enterprise? Make sure you build Fine Grained Authorization to ensure your LLMs access only the data they are authorized to. This talk will show how you can build Relationship Based Access...