Explore LLM word representations using similarity analysis (part 1)
A hands-on introduction to representational similarity analysis (RSA) with GPT-2 and BERT embeddings
Hey! It’s Tivadar.
Mike X Cohen, PhD returns to The Palindrome! You know I’m a big fan of his work, and if you are into machine learning, you should be too. His posts always strike the perfect balance between educational, practical, and entertaining.
He recently published the book 50 ML Projects to Understand LLMs, and his upcoming two-part series on exploring word representations is taken directly from the book. If you want to understand how Large Language Models work under the hood, don’t miss the post below.
Enjoy!
Cheers,
Tivadar
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