inverse-scaling / prizeLinks
A prize for finding tasks that cause large language models to show inverse scaling
☆611Updated last year
Alternatives and similar repositories for prize
Users that are interested in prize are comparing it to the libraries listed below
Sorting:
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆464Updated 2 years ago
- Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging F…☆573Updated last year
- Ask Me Anything language model prompting☆546Updated last year
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆866Updated last year
- Task-based datasets, preprocessing, and evaluation for sequence models.☆576Updated last month
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆768Updated last year
- Fast & Simple repository for pre-training and fine-tuning T5-style models☆1,005Updated 10 months ago
- Used for adaptive human in the loop evaluation of language and embedding models.☆309Updated 2 years ago
- Tools for understanding how transformer predictions are built layer-by-layer☆500Updated last year
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆451Updated last year
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆685Updated 3 months ago
- ☆270Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆530Updated 4 months ago
- Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.☆1,000Updated 10 months ago
- An open collection of implementation tips, tricks and resources for training large language models☆475Updated 2 years ago
- Expanding natural instructions☆1,002Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆563Updated last year
- Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate …☆635Updated last year
- Scaling Data-Constrained Language Models☆335Updated 9 months ago
- Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.☆561Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆857Updated 2 weeks ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆813Updated 11 months ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆310Updated 2 years ago
- Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"☆1,060Updated last year
- Mass-editing thousands of facts into a transformer memory (ICLR 2023)☆500Updated last year
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆257Updated last year
- DSIR large-scale data selection framework for language model training☆251Updated last year
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆538Updated last year
- Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-…☆559Updated last year
- Keeping language models honest by directly eliciting knowledge encoded in their activations.☆206Updated last week