openai / summarize-from-feedbackLinks
Code for "Learning to summarize from human feedback"
☆1,050Updated 2 years ago
Alternatives and similar repositories for summarize-from-feedback
Users that are interested in summarize-from-feedback are comparing it to the libraries listed below
Sorting:
- Code for the paper Fine-Tuning Language Models from Human Preferences☆1,374Updated 2 years ago
- Expanding natural instructions☆1,022Updated last year
- A modular RL library to fine-tune language models to human preferences☆2,363Updated last year
- Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-…☆565Updated last year
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆874Updated 2 years ago
- ☆1,549Updated 2 months ago
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways☆824Updated 2 years ago
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆696Updated 7 months ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,791Updated 4 months ago
- ☆1,245Updated 2 years ago
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆462Updated 2 years ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆826Updated last year
- Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.☆1,006Updated last year
- ☆1,608Updated 2 years ago
- A research project for natural language generation, containing the official implementations by MSRA NLC team.☆739Updated last year
- Tools to download and cleanup Common Crawl data☆1,031Updated 2 years ago
- Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.☆1,151Updated last year
- Crosslingual Generalization through Multitask Finetuning☆537Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆770Updated 2 years ago
- Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.☆473Updated last year
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆548Updated last year
- Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpe…☆436Updated 2 years ago
- [NIPS2023] RRHF & Wombat☆811Updated 2 years ago
- BLEURT is a metric for Natural Language Generation based on transfer learning.☆765Updated 2 years ago
- Task-based datasets, preprocessing, and evaluation for sequence models.☆587Updated this week
- Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is design…☆1,059Updated 4 years ago
- Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models☆3,137Updated last year
- ☆1,250Updated last year
- UnifiedQA: Crossing Format Boundaries With a Single QA System☆441Updated 3 years ago
- Prefix-Tuning: Optimizing Continuous Prompts for Generation☆950Updated last year