llmware

Not sure about copilot, but I recently became aware of llmware: https://llmware-ai.github.io/llmware/ https://github.com/llmware-ai/llmware There's also Simon Wilson's llm cli: https://llm.datasette.io/en/stable/ https://github.com/simonw/llm Both might help getting started with some LLM experiments.

Checkout llmware - https://github.com/llmware-ai/llmware

I couldn't agree more. You should check out LLMWare's SLIM agents (https://github.com/llmware-ai/llmware/tree/main/examples/SLI...). It's focusing on pretty much exactly this and chaining multiple local LLMs together. A really good topic that ties in with this is the need for deterministic sampling (I may have the terminology a bit incorrect) depending on what the model is indended for. The LLMWare team did a good 2 part video on this here as well (https://www.youtube.com/watch?v=7oMTGhSKuNY) I think dedicated miniture LLMs are the way forward. Disclaimer - Not affiliated with them in any way, just think it's a really cool project.

I've been building upon the LLMWare project - https://github.com/llmware-ai/llmware - for the past 3 months. The ability to run these models locally on standard consumer CPUs, along with the abstraction provided to chop and change between models and different processes is really cool. I think these SLIM models are the start of something powerful for automating internal business processes and enhancing the use case of LLMs. Still kinda blows my mind that this is all running on my 3900X and also runs on a bog standard Hetzner server with no GPU.

Hi, I was a corporate lawyer for many years working with a lot of financial services and insurance companies. In practicing law, I noticed there was a lot of repetition in the tasks I was working on even as a highly paid attorney that could be automated. I wanted to solve the problem of dealing with a lot information and data in a practical way, using AI. This motivated me to start AI Bloks/LLMWare with my husband, who had a deep background in software and is a very early adopter of AI. We have been on this journey with our open source project LLMWare for the past 4 months, producing a RAG framework in GH and about 50 models in Hugging Face. https://huggingface.co/llmware Our latest models are designed to re-imagine the way we use small specialized models in multi-step RAG workflow (SLIMs). I would love for you to check it out and give us