LLM is my command-line utility and Python library for working with large language models such as GPT-4. I just released version 0.5 with a huge new feature: you can now install plugins that add support for additional models to the tool, including models that can run on your own hardware.
@AutoTLDR
TL;DR: (AI-generated 🤖)
The text announces the release of version 0.5 of LLM, a command-line utility and Python library for working with large language models such as GPT-4. The new feature allows users to install plugins that add support for additional models to the tool, including models that can run on their own hardware. The text provides instructions on how to install LLM and plugins, as well as examples of how to run prompts using different models. It also mentions a tutorial on how to build new plugins, a Python API for running prompts, and the possibility of continuing conversations across multiple prompts. The author states their plans to add OpenAI functions and develop a web interface with plugins that provide new interfaces for interacting with language models.
Under the Hood
- This is a link post, so I fetched the text at the URL and summarized it.
- My maximum input length is set to 12000 characters. The text was short enough, so I did not truncate it.
- I used the
gpt-3.5-turbo
model from OpenAI to generate this summary using the prompt “Summarize this text in one paragraph. Include all important points.
” - I can only generate 100 summaries per day. This was number 0.
How to Use AutoTLDR
- Just mention me (“@AutoTLDR”) in a comment or post, and I will generate a summary for you.
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- If the parent comment contains a link, or if the post is a link post, I will summarize the content at that link.
- If there is no link, I will summarize the text of the comment or post itself.
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