Ryan Angilly reposted
Ryan Angilly
As an aside to the broader goal of the below thread, this is a question so many people have right now: “when do I start fine tuning?” I’ve yet to see good answers. We are still so early!!
awesome! Wdyt, to what size or amount of notes does RAG work, and when does "training" a model make more sense? I wonder as I have 7k+ notes with huge notes, that RAG might not be enough, but I'm not experienced in it, so I do not know.
In Context Learning is underrated.
🚀 [NEW POST] Show, Don’t Tell: How Dynamic Examples Boosted Accuracy from 61% to 97% Ever spent hours fine-tuning prompts or testing document parsing libraries, only to end up with meh results? What if I told you that one simple change could drastically improve your results?
Ryan Angilly reposted
Did you know that attention across the whole input span was inspired by the time-negating alien language in Arrival? Crazy anecdote from the latest Hard Fork podcast (by @kevinroose.com and @caseynewton.bsky.social). HT nwbrownboi on Threads for the lead.
Playing around with @anthropic.com MCP stuff, and found out the hard way that www.claudedesktop.com is not claude.ai/download 😬 Anyway it's working now! #llm #genai
Ryan Angilly reposted
Ever wondered how AI autocomplete works? In this thread I’ll walk you through how we work with LLMs at @continuedev.bsky.social to decipher user intent and provide them with useful completions. Continue is open source so I’ll post links to relevant code on Github at the end of this thread.
Ryan Angilly reposted
You are up to date.