TheVault
lmql
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| TheVault | lmql | |
|---|---|---|
| 4 | 30 | |
| 78 | 3,320 | |
| - | 7.1% | |
| 7.9 | 9.5 | |
| 3 months ago | about 1 month ago | |
| Jupyter Notebook | Python | |
| MIT License | Apache License 2.0 |
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TheVault
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(2/2) May 2023
A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation (https://github.com/FSoft-AI4Code/TheVault)
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List of code generation datasets (open source)
TheVault
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[P] Fine-tuning LLaMA on TheVault by AI4Code
I essentially want to fine-tune LLaMA on a dataset that's geared towards code generation. After a bit of research I found TheVault which seems good enough for the job (let me know if there are better datasets tho).
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[R] Introducing The Vault: A new multilingual dataset for advancing code understanding and generation.
Github page: https://github.com/FSoft-AI4Code/TheVault
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?
DB-GPT - AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
guidance - A guidance language for controlling large language models.
GirlfriendGPT - Girlfriend GPT is a Python project to build your own AI girlfriend using ChatGPT4.0
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
code_contests
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
waymo-open-dataset - Waymo Open Dataset
guardrails - Adding guardrails to large language models.
whylogs - An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
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.