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You are here		simonwillison.net Archive for Wednesday, 12th February 2025
\|	\|	saeedesmaili.com Generating text embeddings locally using sentence-transformers \| Saeed Esmaili	5.2 parsecs away Travel
\|	\|	Recently, I've been working on a side project where I use OpenAI's text-embedding-ada-002 model to generate vector embeddings for text snippets. While this model is inexpensive, the cost can add up when dealing with thousands or millions of text snippets. Therefore, I decided to explore alternatives, particularly those that would allow me to run similar models locally instead of relying on OpenAI's API. In this post, I'll share my experience using the sentence-transformers library for this purpose and discuss the pros and cons.	5.2 parsecs away Travel
\|	\|	til.simonwillison.net Calculating embeddings with gtr-t5-large in Python \| Simon Willison's TILs	3.5 parsecs away Travel
\|	\|	I've long wanted to run some kind of large language model on my own computer. Now that I have a M2 MacBook Pro I'm even more keen to find interesting ways to keep all of those CPU cores busy.	3.5 parsecs away Travel
\|	\|	shekhargulati.com Making sense of screenshots with CLIP model embeddings - Shekhar Gulati	8.2 parsecs away Travel
\|	\|	Today I was reading Chapter 9 "Multimodal Large Language Models" of Hands-On Large Language Models book and thought of applying it to a problem I face occassionally. The chapter covers CLIP model and how you can use them to embed both text and images in the same vector space. Like most normal humans, I take...	8.2 parsecs away Travel
\|	\|	jeffreyladish.com Are Large Language Models like laMDA sentient? - jeffreyladish.com	16.8 parsecs away Travel
\|		In this post I explain what we can and can't learn about AI sentience from conversations with Large Language Models.	16.8 parsecs away Travel