https://www.youtube.com/watch?v=Y4HQQPfyzwo Is GenAI All You Need to Classify Text? Some Learnings from the TrenchesPyDataSep 26, 2024 “…practical implications of using GenAI for text classification tasks. The speakers highlighted challenges such
What I Read: LLMs, 2024
https://simonwillison.net/2024/Dec/31/llms-in-2024 Things we learned about LLMs in 2024Simon Willison31st December 2024 “A lot has happened in the world of Large Language Models over the course of 2024.”
What I Read: embedding models
https://unstructured.io/blog/understanding-embedding-models-make-an-informed-choice-for-your-rag Understanding embedding models: make an informed choice for your RAGMaria KhalusovaAug 13, 2024 “How do you choose a suitable embedding model for your RAG application?”
What I Watch: How LLMs store facts
How might LLMs store facts | Chapter 7, Deep Learning3Blue1BrownAug 31, 2024 “Unpacking the multilayer perceptrons in a transformer, and how they may store facts”
What I Read: passively learned, causality
What can be passively learned about causality?Simons InstituteAndrew Lampinen (Google DeepMind)Jun 25, 2024 “What could language models learn about causality and experimentation from their passive training?”
What I Read: Classifying pdfs
https://snats.xyz/pages/articles/classifying_a_bunch_of_pdfs.html Classifying all of the pdfs on the internetSantiago Pedroza2024-08-18 “How would you classify all the pdfs in the internet? Well, that is what I tried doing this time.”