InfoQ - Large language models - Presentations

Presentation: Fine Tuning the Enterprise: Reinforcement Learning in Practice

Wenjie Zi, Will Hang — Fri, 03 Jul 2026 09:22:00 GMT

The speakers discuss Agent RFT, OpenAI’s platform for fine-tuning reasoning models via real-time tool interactions and custom reward signals. They explain how reinforcement learning solves complex credit assignment challenges within the context window. They share enterprise success stories, showing how Agent RFT eliminates long-tail token loops and drives extreme efficiency.

By Wenjie Zi, Will Hang

Presentation: Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs

Cassie Shum — Wed, 01 Jul 2026 14:01:00 GMT

Cassie Shum discusses the architectural evolution of GraphRAG and why data foundations are critical for advanced AI workflows. She explains how traditional vector RAG falls short when addressing global context, multi-hop reasoning, and provenance. She shares enterprise strategies for building semantically structured knowledge graphs that shift raw orchestrating logic down to the data layer.

By Cassie Shum

Presentation: Rules for Understanding Language Models

Naomi Saphra — Wed, 24 Jun 2026 11:25:00 GMT

Naomi Saphra discusses 5 rules governing language model behavior, breaking down why LLMs act like populations rather than individuals. She explains how tokenization creates strange semantic blind spots and highlights the mechanics of sycophancy, showing how models leverage subtle data associations to match user biases and demographics - even guessing political views based on favorite sports teams.

By Naomi Saphra