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1.
Just brute force your embeddings (news.ycombinator.com)
2.
Miniaturizing and modifying natural proteins with Raygun (feeds.nature.com)
3.
AI developer runs 28.9-million-parameter model on $10 ESP32-S3 microcontroller — uses Google's Per-Layer Embeddings technique, stores table on 16MB Flash memory (tomshardware.com)
4.
Running a 28.9M parameter LLM on an $8 microcontroller (news.ycombinator.com)
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Show HN: Atomic – Local-first, AI-augmented personal knowledge base (news.ycombinator.com)
6.
Querying 3B Vectors (news.ycombinator.com)
7.
Prompt caching for cheaper LLM tokens (news.ycombinator.com)
8.
Prompt caching: 10x cheaper LLM tokens, but how? (news.ycombinator.com)
9.
28M Hacker News comments as vector embedding search dataset (news.ycombinator.com)
10.
Meta Superintelligence Labs' first paper is about RAG (news.ycombinator.com)
11.
Meta Superintelligence's surprising first paper (news.ycombinator.com)
12.
How big are our embeddings now and why? (news.ycombinator.com)
13.
LGND wants to make ChatGPT for the Earth (techcrunch.com)
Today's top topics: power nasa apple instruments officials science devices google messages burned
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