How do LLMs work? :: Giles' blog
What actually goes on inside an LLM to make it calculate probabilities for the next token?| Giles' Blog
What actually goes on inside an LLM to make it calculate probabilities for the next token?| Giles' Blog
Working through layer normalisation -- why do we do it, how does it work, and why doesn't it break everything?| Giles' Blog
Posts in the 'TIL deep dives' category on Giles Thomas’s blog. Insights on AI, startups, software development, and technical projects, drawn from 30 years of experience.| www.gilesthomas.com
Batching speeds up training and inference, but for LLMs we can't just use matrices for it -- we need higher-order tensors.| Giles' Blog
Adding dropout to the LLM's training is pretty simple, though it does raise one interesting question| Giles' Blog
Moving on from a toy self-attention mechanism, it's time to find out how to build a real trainable one. Following Sebastian Raschka's book 'Build a Large Language Model (from Scratch)'. Part 8/??| Giles' Blog
