This video is part of LLM University
[ Ссылка ]
For large language models, it is crucial to know when two words, or two sentences, are similar or different. This can be a hard problem, but luckily, word and sentence embeddings are very helpful for this task. In this post we go over some different notions of similarity: Dot product and cosine distance.
Bio:
Luis Serrano is the lead of developer relations at Co:here. Previously he has been a research scientist and an educator in machine learning and quantum computing. Luis did his PhD in mathematics at the University of Michigan, before embarking to Silicon Valley to work at several companies like Google and Apple. Luis is the author of the Amazon best-seller "Grokking Machine Learning", where he explains machine learning in a clear and concise way, and he is the creator of the educational YouTube channel "Serrano.Academy", with over 100K subscribers and 5M views.
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Resources:
Similarity Blog post: [ Ссылка ]
Embeddings Blog post: [ Ссылка ]
Learn more: [ Ссылка ]
