· 2024-02-12 23:05:22+01:00
Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023? | Python LibHunt
estimated reading time: < 1 min As others have said you want RAG. The most feature complete implementation I've seen is h2ogpt[0] (not affiliated). The code is kind of a mess (most of the logic is in an ~8000 line python file) but it supports ingestion of everything from YouTube vid
estimated reading time: < 1 min As others have said you want RAG. The most feature complete implementation I've seen is h2ogpt[0] (not affiliated). The code is kind of a mess (most of the logic is in an ~8000 line python file) but it supports ingestion of everything from YouTube vid
· 2024-02-10 02:30:14+01:00
GitHub cheshire cat ai/core: Production ready AI assistant framework
estimated reading time: < 1 min {{ message }} / core PublicNotifications Fork 208 Star 1.7k Production ready AI assistant frameworkcheshirecat.aiLicense GPL-3.0 license 1.7k stars 208 forks Branches Tags Activity Star Notifications You can’t perform that action at this ti
estimated reading time: < 1 min {{ message }} / core PublicNotifications Fork 208 Star 1.7k Production ready AI assistant frameworkcheshirecat.aiLicense GPL-3.0 license 1.7k stars 208 forks Branches Tags Activity Star Notifications You can’t perform that action at this ti
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