Is anyone using self hosted LLM day to day and training it like a new employee

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • LongMem

    Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory".

  • obsidian-ollama

  • Having come from Notion also, I LOVE Obsidian for its non-proprietary file structure. Incredible powerful plugins, too.

    FWIW, it's not really what you're seeking... but there is a plugin that allows you to invoke an LLM from within Obsidian (via Ollama): https://github.com/hinterdupfinger/obsidian-ollama

    In short, it allows you to set up prompts to transform selected text directly within a file, e.g. 'Summarize this selection as a markdown formatted list of key points', 'Write a PRD', 'Translate to [Language]', 'Run this as a prompt', etc.

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  • lightrail

    Lightrail Monorepo

  • I've been using & contributing to Lightrail (https://github.com/lightrail-ai/lightrail). Each instance comes with a local vectorDB and integrates with apps like Chrome & VSCode, so I can read in content like my notes, emails, etc. It doesn't support self-hosted LLMs yet unfortunately!

  • txtai

    💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

  • Cool use case, glad to see txtai [1] is helping (I'm the main dev for txtai).

    Since you're using txtai, this article I just wrote yesterday might be helpful: https://neuml.hashnode.dev/build-rag-pipelines-with-txtai

    Looks like you've received a lot of great ideas here already though!

    1 - https://github.com/neuml/txtai

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