AIJobNetwork is on Product Hunt today producthunt.com/posts/the-ai-j… It's more of an exercise to put something out there than anything else. #buildinpublic

GPT-4 and GPT-3.5 Turbo models in the API now support calling your custom functions, allowing the model to use tools you design for it. Also — reduced pricing & new model versions (including 16k context for 3.5 Turbo): openai.com/blog/function-…

At some point, anyone building production-grade apps will realize this. Understand your data and optimize splitting it.

Today, we are taking your AI and LLM apps to the next level🚀 Introducing pg_embedding. A new extension for @Postgres and for scalable AI apps. Learn how #pg_embedding outperforms #pgvector by 20x in speed with HNSW index 🎉⬇️ bit.ly/46HykGF

Here goes: viberary.pizza is a side project I've been working on over the past few months. It gives you book recommendations based on ✨vibes✨. You enter a search query like "funny scifi" and it returns a list of good recommendations (still working on the good part).

Jonathan Katz (Jonathan S. Katz): pgvector 0.5.0 Feature Highlights and HOWTOs postgr.es/p/68a

Interesting new position spotted at Sourcegraph: LLM Interaction Engineer aijobnetwork.com/jobs/sourcegra… #jobs #remotejobs

1/ 🤖 You don’t need a specialized vector database. You just need PostgreSQL. Introducing Timescale Vector: PostgreSQL++ for AI Applications - 📈 3x ANN search performance vs Weaviate, 40%-1,500% boost for pgvector. - ⚙️ No need to learn and manage a separate vector database.

I tried to cover the fundamentals of vector search and how to make search queries more efficient using PostgreSQL and pgvector. Is there anything else I should have added? neon.tech/blog/understan…