Table of Contents
- Metaphor https://metaphor.systems/
- https://perplexity.ai Ask
- new search interface that uses OpenAI GPT 3.5 and Microsoft Bing to directly answer any question you ask.
- uses Codex https://news.ycombinator.com/item?id=34006542
- examples https://twitter.com/perplexity_ai/status/1600551956551852032?s=20
- https://www.hebbia.ai/
- Huberman search
- https://twitter.com/rileytomasek/status/1603854647575384067?s=20
- How does it work? Transcriptions are generated using Whisper and then embedded using the text-embedding-ada-002 model. The vectors are then stored in a pinecone vector database. A user's query is embedded and then used to find similar vectors in the database.
- The "Ask" answer uses text-davinci-003 to answer the question given the search results, with instructions not to make stuff up.
- https://github.com/rileytomasek/openai-fetch
- https://twitter.com/rileytomasek/status/1603854647575384067?s=20
- How to build Semantic search distributed systems using python, pyspark, faiss and clip! A walk through on building a laion5B semantic search system.
- https://www.deepmind.com/blog/gophercite-teaching-language-models-to-support-answers-with-verified-quotes