gpjt (Giles Thomas)
Getting started with LLM training| huggingface.co
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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
On sabbatical / created @PythonAnywhere.com, which found a home at @anacondainc.bsky.social / XP / Python / PSF Fellow / opinions my own / blog at https://www.gilesthomas.com| Bluesky Social
A pause to take stock: starting to build intuition on how self-attention scales (and why the simple version doesn't)| Giles' Blog
Finally getting to the end of chapter 3 of Raschka’s LLM book! This time it’s multi-head attention: what it is, how it works, and why the code does what it does.| Giles' Blog
Posts in the 'LLM from scratch' category on Giles Thomas’s blog. Insights on AI, startups, software development, and technical projects, drawn from 30 years of experience.| www.gilesthomas.com
Posts in the 'AI' category on Giles Thomas’s blog. Insights on AI, startups, software development, and technical projects, drawn from 30 years of experience.| www.gilesthomas.com
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
Boost your learning: Test Yourself PDF Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks. Build a Large Language ...| Manning Publications
