DB-GPT
lmql
| DB-GPT | lmql | |
|---|---|---|
| 10 | 30 | |
| 11,055 | 3,320 | |
| 5.0% | 2.9% | |
| 9.9 | 9.5 | |
| 4 days ago | about 1 month ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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DB-GPT
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(2/2) May 2023
Interact your data and environment using the local GPT (https://github.com/csunny/DB-GPT)
- FLaNK Stack Weekly 29 may 2023
- GitHub - csunny/DB-GPT: Interact your data and environment using the local GPT, no data leaks, 100% privately, 100% security
- DB-GPT - OSS to interact with your local LLM
- Show HN: DB-GPT, an LLM tool for database
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?
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
guidance - A guidance language for controlling large language models.
GPTCache - Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
gorilla - Gorilla: An API store for LLMs
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
zamm - Experimental AI chat app
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Propan - Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker
guardrails - Adding guardrails to large language models.
jj - JSON Stream Editor (command line utility)
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.