Writing an LLM from scratch, part 13 -- the 'why' of attention, or: attention heads are dumb :: Giles' blog
A pause to take stock: realising that attention heads are simpler than I thought explained why we do the calculations we do.| Giles' Blog
A pause to take stock: realising that attention heads are simpler than I thought explained why we do the calculations we do.| 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
Causal, or masked self-attention: when we're considering a token, we don't pay attention to later ones. Following Sebastian Raschka's book 'Build a Large Language Model (from Scratch)'. Part 9/??| 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
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
By Shen Huang Do you really understand Big O? If so, then this will refresh your understanding before an interview. If not, don’t worry — come and join us for some endeavors in computer science. If you have taken some algorithm related courses, you’v...| freeCodeCamp.org
