prometheus-eval / prometheus-evalLinks
Evaluate your LLM's response with Prometheus and GPT4 π―
β1,029Updated 8 months ago
Alternatives and similar repositories for prometheus-eval
Users that are interested in prometheus-eval are comparing it to the libraries listed below
Sorting:
- Stanford NLP Python library for Representation Finetuning (ReFT)β1,552Updated this week
- Automated Evaluation of RAG Systemsβ683Updated 9 months ago
- Automatically evaluate your LLMs in Google Colabβ682Updated last year
- A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.β819Updated 6 months ago
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Modelsβ591Updated last year
- Generative Representational Instruction Tuningβ681Updated 6 months ago
- β557Updated last year
- Official repository for ORPOβ469Updated last year
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backendsβ2,251Updated this week
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. β π€π€β1,088Updated 11 months ago
- Best practices for distilling large language models.β599Updated last year
- List of papers on hallucination detection in LLMs.β1,015Updated 2 months ago
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifiβ¦β3,039Updated 3 weeks ago
- A reading list on LLM based Synthetic Data Generation π₯β1,506Updated 7 months ago
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.β568Updated 3 weeks ago
- Chat Templates for π€ HuggingFace Large Language Modelsβ713Updated last year
- Easily embed, cluster and semantically label text datasetsβ589Updated last year
- Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"β402Updated last year
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data β¦β817Updated 9 months ago
- Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipyβ1,447Updated 3 weeks ago
- Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".β663Updated last week
- Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"β1,437Updated 10 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).β899Updated 3 months ago
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.β772Updated last year
- Train Models Contrastively in Pytorchβ771Updated 9 months ago
- β1,032Updated last year
- Doing simple retrieval from LLM models at various context lengths to measure accuracyβ2,137Updated last year
- awesome synthetic (text) datasetsβ321Updated last week
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.β1,933Updated 5 months ago
- Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'β1,637Updated last month