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In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Inspired by the complexity of human memory systems—such as episodic, working, semantic, and procedural memory—this…

In this talk, we examine the state-of-the-art in AI-powered search and retrieval. We detail techniques for enhancing performance beyond base embedding models, including hybrid search, reranking strategies, query decomposition and document enrichment, the…

The talk will have three parts
1.Roadmap debate: RAG vs. finetuning vs. long-context
2.RAG today: benefits, challenges, and current solutions
3.RAG tomorrow: AI models do more work

About Tengyu Ma
Tengyu Ma is the Chief AI Scientist @ MongoDB and an Assistant…

Open weights models and open source inference servers have made massive strides in the year since we last got together at AIE World's Fair.

Where once we had only pirated LLaMA 2 weights and Transformers, we now have an embarrassment of riches. In fact,…

This workshop offers a hands-on introduction to developing Large Language Model (LLM)-powered AI agents using Microsoft’s Azure AI Agent Service. Participants will build a conversational agent capable of analyzing sales data, generating visualizations, and…

As AI agents transition from experimental assistants to critical components of enterprise workflows, reliably evaluating their performance becomes essential. But how do you systematically measure an AI agent’s capabilities, contextual understanding, and accuracy…

GitHub Copilot's agentic capabilities enhance its ability to act as a peer programmer. From the IDE to the repository, Copilot can generate code, run tests, and perform tasks like creating pull requests using Model Context Protocol (MCP). This instructor…

In the age of autonomous AI agents, ensuring their safety and reliability is paramount. But how can we proactively uncover vulnerabilities before they impact real-world scenarios? Enter Azure AI Evaluation SDK’s Red Teaming Agent—a cutting-edge tool designed…

About Christopher Harrison
Christopher is a long-time geek who's spent the bulk of his career training, supporting and upskilling developers. He's a web developer at heart with passions which span from Python to DevOps to TypeScript to AI. In his current…

"Vibe coding" often falters in complex enterprise environments. Drawing from real implementations, this talk demonstrates systematic approaches to customizing AI assistants for challenging codebases. We'll explore specialized techniques for navigating complex…

Software development is a team sport, with many different roles, where eveyone can win. But success isn't guaranteed; it depends on specific practices, policies, and tools which enable minimally-siloed, AI-accelerated collaboration across all parts of the…

After months of uncertainty and delays, the Russian Central Bank has announced that the digital ruble will be launched nationwide on September 1, 2026. The country’s major lenders have confirmed their…

This week’s newsletter summarizes research about fingerprinting full nodes using P2P protocol messages and seeks feedback about possibly removing support for H in BIP32 paths in the BIP380…

"Vibe coding" often falters in complex enterprise environments. Drawing from real implementations, this talk demonstrates systematic approaches to customizing AI assistants for challenging codebases. We'll explore specialized techniques for navigating complex…

About Emma Ning
Emma Ning is a Principal PM in the Microsoft AI Framework team, focusing on AI model operationalization and acceleration with ONNX Runtime/Olive for open and interoperable AI. She has more than five years of product experience in search engines…

At LlamaIndex we see a lot of agents built every day, and we've got a sense of what works and what doesn't. We've distilled those learnings down into a series of patterns and best practices for building real-world, production agents, and we're here to share…

As AI tools like GitHub Copilot and ChatGPT help engineers generate code at an unprecedented rate, the “outer loop”—reviewing, testing, merging, and deploying—becomes more vital than ever. Studies have shown that up to half of AI-generated solutions contain…