llm-api
llm
| llm-api | llm | |
|---|---|---|
| 1 | 27 | |
| 130 | 3,223 | |
| - | - | |
| 8.1 | 9.3 | |
| 5 days ago | 3 days ago | |
| TypeScript | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
llm-api
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The Problem with LangChain
You don't need to look at the code: I looked at the release notes and the garbage fire of unrelated nonsense getting added and got to skip even installing it.
Langchain is almost required at this point to accept anything. They raised money, and now their growth metric is Github stars.
A simple wrapper around the APIs (I used llamaflow, which is now llm-api https://github.com/dzhng/llm-api) and a templating engine is most of what you need.
AI is not at a point where generalist prompts to do agent/memory/search things is a good idea for a real product. You need to integrate procedural guidance unless you want your UX to be awful.
llm
- FLaNK AI-April 22, 2024
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Show HN: I made a tool to clean and convert any webpage to Markdown
That's a great use case, you might be able to do this if you've got a copy and paste on the command line with
https://github.com/simonw/llm
In between. An alias like pdfwtf translating to "paste | llm command | copy"
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Command R+: A Scalable LLM Built for Business
I added support for this model to my LLM CLI tool via a new plugin: https://github.com/simonw/llm-command-r
So now you can do this:
pipx install llm -
The Next Generation of Claude (Claude 3)
If you're willing to use the CLI, Simon Willison's llm library[0] should do the trick.
[0] https://github.com/simonw/llm
- Show HN: I made an app to use local AI as daily driver
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Localllm lets you develop gen AI apps on local CPUs
I'm not thrilled about https://github.com/GoogleCloudPlatform/localllm/blob/main/ll... calling their Python package "llm" and installing "llm" as a CLI command, when my similar https://llm.datasette.io/ project has that namespace reserved on PyPI already: https://pypi.org/project/llm/
- FLaNK 15 Jan 2024
- Show HN: Simple Script for Enhanced LLM Interaction in Vim
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Bash One-Liners for LLMs
I've been gleefully exploring the intersection of LLMs and CLI utilities for a few months now - they are such a great fit for each other! The unix philosophy of piping things together is a perfect fit for how LLMs work.
I've mostly been exploring this with my https://llm.datasette.io/ CLI tool, but I have a few other one-off tools as well: https://github.com/simonw/blip-caption and https://github.com/simonw/ospeak
I'm puzzled that more people aren't loudly exploring this space (LLM+CLI) - it's really fun.
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Semantic Kernel
Seems nice if you're using c# or java. It also supports python, but for that Simon's llm library is nice because he designed it as both a library and a command line tool: https://github.com/simonw/llm
What are some alternatives?
jehuty - Fluent API to interact with chat based GPT model
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
gchain - Composable LLM Application framework inspired by langchain
langroid - Harness LLMs with Multi-Agent Programming
aipl - Array-Inspired Pipeline Language
exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
llm-gpt4all - Plugin for LLM adding support for the GPT4All collection of models
multi-gpt - A Clojure interface into the GPT API with advanced tools like conversational memory, task management, and more
buildabot - A production-grade framework for building AI agents.
llm-replicate - LLM plugin for models hosted on Replicate