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Generate vector embeddings for all startup descriptions #betalist
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Ask author of `neighbors` gem how to optimize my SQL queries, because I just realized that by adding vector embedding to the todos, we're now loading ~25x as much data whenever we're loading todos from the database even though in 99% of cases we don't need the embeddings #wipgithub.com/ankane/neighbor/is…
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create embeddings from list of items I wanna search #aiplay
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Generate pgvector embeddings for #nichewit to improve similarity searches.
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sequenced a list for todos on #wp
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learn about vector embeddings and vector database #powerup #sp
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Create embedding for all 20k product descriptions so we can hopefully do audience similarity search for products #thieve
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Finally process the last few of the ~2.5M embeddings #nichewit
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Add Open Graph cards for todos #wip
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get all todos #wipfred
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Explore the world of vector embeddings with Cohere
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Rerun some embeddings #life
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Write a bunch of todos for various projects
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play with openai embeddings #life
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update embeddings algo to deal with sections longer than embedding token limit #ai
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Implement Twitter-like image layout for todos with multiple images #wip
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Make successful semantic queries with vector embeddings
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Write down all todos for today #life
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research Open AI embeddings #reva
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Create article content embeddings
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