zou-group / textgradLinks
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
☆3,236Updated 5 months ago
Alternatives and similar repositories for textgrad
Users that are interested in textgrad are comparing it to the libraries listed below
Sorting:
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆3,008Updated last week
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,548Updated this week
- A library for advanced large language model reasoning☆2,319Updated 6 months ago
- Enforce the output format (JSON Schema, Regex etc) of a language model☆1,977Updated 4 months ago
- Bringing BERT into modernity via both architecture changes and scaling☆1,602Updated 6 months ago
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆2,226Updated 2 weeks ago
- Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'☆1,635Updated 3 weeks ago
- Evaluate your LLM's response with Prometheus and GPT4 💯☆1,024Updated 8 months ago
- A reading list on LLM based Synthetic Data Generation 🔥☆1,498Updated 6 months ago
- A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.☆1,584Updated 2 weeks ago
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆2,127Updated last year
- Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"☆1,427Updated 10 months ago
- [ICLR 2025] Automated Design of Agentic Systems☆1,480Updated 11 months ago
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,795Updated last week
- MTEB: Massive Text Embedding Benchmark☆3,051Updated this week
- Synthetic data curation for post-training and structured data extraction☆1,591Updated this week
- Large Concept Models: Language modeling in a sentence representation space☆2,317Updated 11 months ago
- Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard a…☆2,019Updated last month
- AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.☆1,106Updated last month
- AllenAI's post-training codebase☆3,488Updated this week
- The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.☆2,416Updated this week
- MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering☆1,251Updated 2 weeks ago
- Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-…☆3,805Updated 7 months ago
- Optimizing inference proxy for LLMs☆3,252Updated last week
- Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy☆1,438Updated last week
- Recipes to scale inference-time compute of open models☆1,122Updated 7 months ago
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤☆1,086Updated 11 months ago
- ☆1,035Updated last year
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆2,282Updated last year
- Robust recipes to align language models with human and AI preferences☆5,466Updated 3 months ago