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X @Avi Chawla
Avi Chawla· 2026-03-05 06:31
You're in a Research Scientist interview at DeepMind.The interviewer asks:"Our investors want us to contribute to open-source.Gemini crushed benchmarks.But we'll lose competitive edge by open-sourcing it.What to do?"You: "Release a research paper."Here's what you missed:LLMs today don't just learn from raw text; they also learn from each other.For example:- Llama 4 Scout & Maverick were trained using Llama 4 Behemoth.- Gemma 2 and 3 were trained using Gemini.Distillation helps us do so, and the visual expla ...
Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect
AI Engineer· 2026-01-12 18:00
I really do appreciate that you're all here. I'm going to try and make this as painless as possible. We're not going to do an interactive part. We're going to talk through stuff.I'm happy to go off script. I'm happy to take questions if there's stuff we want to explore at any moment in this. My goal is I'd like to share with you a lot of things that I've learned.Um I'm going to try and make them as actionable as possible. So there is real stuff to do here. Um more than we might in like a more high level tal ...
When Vectors Break Down: Graph-Based RAG for Dense Enterprise Knowledge - Sam Julien, Writer
AI Engineer· 2025-07-22 16:30
Enterprise knowledge bases are filled with "dense mapping," thousands of documents where similar terms appear repeatedly, causing traditional vector retrieval to return the wrong version or irrelevant information. When our customers kept hitting this wall with their RAG systems, we knew we needed a fundamentally different approach. In this talk, I'll share Writer's journey developing a graph-based RAG architecture that achieved 86.31% accuracy on the RobustQA benchmark while maintaining sub-second response ...