magentic
lmql
| magentic | lmql | |
|---|---|---|
| 11 | 30 | |
| 1,658 | 3,360 | |
| - | 4.0% | |
| 9.3 | 9.5 | |
| 3 days ago | 7 days ago | |
| Python | 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.
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magentic
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Building a local AI smart Home Assistant
See Magentic for something similar: https://github.com/jackmpcollins/magentic
- GitHub - jackmpcollins/magentic: Seamlessly integrate LLMs as Python functions
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Show HN: Magentic – Use LLMs as simple Python functions
Update: I've added the ability to add chat messages using a new decorator `@chatprompt` in v0.7.0. See https://github.com/jackmpcollins/magentic/releases/tag/v0.7....
lmql
- Show HN: Fructose, LLM calls as strongly typed functions
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Prompting LLMs to constrain output
have been experimenting with guidance and lmql. a bit too early to give any well formed opinions but really do like the idea of constraining llm output.
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[D] Prompt Engineering Seems Like Guesswork - How To Evaluate LLM Application Properly?
the only time i've ever felt like it was anything other than guesswork was using LMQL . not coincidentally, LMQL works with LLMs as autocomplete engines rather than q&a ones.
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Guidance for selecting a function-calling library?
lqml
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Show HN: Magentic – Use LLMs as simple Python functions
This is also similar in spirit to LMQL
https://github.com/eth-sri/lmql
- Show HN: LLMs can generate valid JSON 100% of the time
- LangChain Agent Simulation – Multi-Player Dungeons and Dragons
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The Problem with LangChain
LLM calls are just function calls, so most functional composition is already afforded by any general-purpose language out there. If you need fancy stuff, use something like Python‘s functools.
Working on https://github.com/eth-sri/lmql (shameless plug, sorry), we have always found that compositional abstractions on top of LMQL are mostly there already, once you internalize prompts being functions.
- Is there a UI that can limit LLM tokens to a preset list?
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Local LLMs: After Novelty Wanes
LMQL is another.
What are some alternatives?
cria - OpenAI compatible API for serving LLAMA-2 model
guidance - A guidance language for controlling large language models.
openplugin - Seamlessly integrate with OpenAI's ChatGPT plugins via API (or client), offering the same powerful functionality as the ChatGPT api + plugins!
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
vanna - 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
marvin - ✨ Build AI interfaces that spark joy
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
outlines - Structured Text Generation
guardrails - Adding guardrails to large language models.
openai-multi-client - Making your requests to the OpenAI API go fast!
basaran - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.