# Proof of concept LLM chatbot built with Julia: KeemenaLM.jl

**URL:** <https://discourse.julialang.org/t/proof-of-concept-llm-chatbot-built-with-julia-keemenalm-jl/137961>\
**Category:** Package Announcements\
**Created:** [July 5, 2026, 8:37pm UTC](https://discourse.julialang.org/t/proof-of-concept-llm-chatbot-built-with-julia-keemenalm-jl/137961 "2026-07-05T20:37:34Z")\
**Posts on this page:** 1\
**Showing post:** 52

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**Author:** ![Myar\_joyia](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/myar_joyia/32/223456_2.png) [@Myar\_joyia](https://discourse.julialang.org/u/Myar_joyia)\
**Post date:** [August 24, 2026, 3:44pm UTC](https://discourse.julialang.org/t/proof-of-concept-llm-chatbot-built-with-julia-keemenalm-jl/137961/52 "2026-08-24T15:44:07Z")

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I really like the direction of this project. Getting a small GPT-style model running end-to-end in Julia, including training, tokenization, artifacts, and the REPL workflow, is a useful proof of concept.

The offline side of software is also an interesting area to explore, especially for tools that need to remain usable without a constant internet connection. I’ve been looking into the “Offline Mode” concept as well, and I’ve documented some related ideas here:

It would be interesting to see where KeemenaLM.jl goes next, particularly around local/offline inference, model optimization, and making the workflow easier for Julia users.

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