Sep 18, 2025

Upwork's Radical Bet on Reinforcement Learning: Building RLEF from Scratch | Andrew Rabinovich (CTO)

Andrew Rabinovich, CTO and Head of AI at Upwork, details their strategy for building AI agents for digital work. He introduces a custom reinforcement learning approach called RLEF (Reinforcement Learning from Experience), explains why digital work marketplaces are ideal training grounds, and shares his vision for a future where AI delivers finished projects, orchestrated by a meta-agent named Uma.

Sep 17, 2025

Beyond Prompting: The Emerging Discipline of Context Engineering Reading Group

This summary covers a deep dive into the paper "A Survey of Context Engineering for Large Language Models". The discussion reframes the conversation from simple prompt engineering to a more systematic approach of building information environments for LLMs. It explores the foundational components of context engineering—generation, processing, and management—and their application in advanced systems like Retrieval-Augmented Generation (RAG), memory, tool use, and multi-agent systems.

Sep 15, 2025

Building Advanced Agents Over Complex Data // Jerry Liu

Jerry from LlamaIndex explains why naive Retrieval-Augmented Generation (RAG) fails in production and dives deep into advanced data quality techniques—from parsing complex documents and hierarchical indexing to chunking best practices—required to build robust, high-quality LLM applications.

Sep 11, 2025

Beyond the Chatbot: What Actually Works in Enterprise AI

Jay Alammar, Director at Cohere, discusses the practical adoption of Large Language Models in the enterprise. He covers the evolution of Retrieval-Augmented Generation (RAG) from a simple anti-hallucination tool to complex, agentic systems, the critical role of evaluation as intellectual property, and future trends like text diffusion and the increasing capability of smaller models for specialized business tasks.

Sep 10, 2025

AI Assistance for Software Teams: The State of Play • Birgitta Böckeler • GOTO 2024

Birgitta Böckeler from Thoughtworks provides a comprehensive overview of the current AI tooling landscape for software delivery. The talk focuses on the architecture and capabilities of modern coding assistants, differentiating between the underlying model and the crucial role of tooling in providing context. It explores what works today, the promising but challenging frontiers like testing and refactoring, and offers a practical guide to the major tools in the ecosystem.

Sep 07, 2025

Ask the Experts: Gen AI, Cybersecurity, & AI Agent Questions Answered

Experts Martin Keen and Jeff Crume differentiate between Generative and Agentic AI, delve into the nature of AI hallucinations, and explore critical cybersecurity topics like the permanence of the dark web and the dangers of zero-click attacks.