#tiny-llm

1 messages · Page 1 of 1 (latest)

vocal wharf
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hi everybody
Sharing the llm library I built for running LLM apps in production: https://github.com/zozoheir/tinyllm/tree/main
Here is an example of creating and evaluating Agent: https://github.com/zozoheir/tinyllm/blob/main/docs/examples/agent_example.py
it's great for building LLM based workflows to do things like [input meeting notes] -> [upload summary to a database]. Sort of like an LLM workflow API u can plug to the rest of your tech stack. LLM responses are standardized and easy to debug/trace.
any feedback welcome!

GitHub

Develop, evaluate and monitor LLM applications at scale - GitHub - zozoheir/tinyllm: Develop, evaluate and monitor LLM applications at scale

GitHub

Develop, evaluate and monitor LLM applications at scale - zozoheir/tinyllm

stoic lily
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This looks nice! I'm using LiteLLM and I've been looking for something like TinyLLM to give me one more abstraction later and extra tooling for RAG etc.

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Many of the LLM libraries today (langchain, llama-index, deep pavlov...) have made serious software design commitments which I believe were too early to make given the infancy of the industry.