inverse-scaling / prizeLinks
A prize for finding tasks that cause large language models to show inverse scaling
☆615Updated last year
Alternatives and similar repositories for prize
Users that are interested in prize are comparing it to the libraries listed below
Sorting:
- Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging F…☆575Updated last year
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆462Updated 2 years ago
- Ask Me Anything language model prompting☆547Updated 2 years ago
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆873Updated last year
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆457Updated 2 years ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆311Updated 2 years ago
- ☆276Updated last year
- Task-based datasets, preprocessing, and evaluation for sequence models.☆587Updated 2 weeks ago
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆695Updated 6 months ago
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆547Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆827Updated last year
- Few-shot Learning of GPT-3☆355Updated 2 years ago
- Expanding natural instructions☆1,020Updated last year
- Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.☆298Updated last year
- Fast & Simple repository for pre-training and fine-tuning T5-style models☆1,010Updated last year
- ☆243Updated 2 years ago
- Used for adaptive human in the loop evaluation of language and embedding models.☆311Updated 2 years ago
- PaL: Program-Aided Language Models (ICML 2023)☆510Updated 2 years ago
- Tools for understanding how transformer predictions are built layer-by-layer☆527Updated last month
- Build, evaluate, understand, and fix LLM-based apps☆490Updated last year
- Interpretability for sequence generation models 🐛 🔍☆439Updated 2 weeks ago
- ☆546Updated last year
- ☆159Updated 2 years ago
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆574Updated 2 years ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆769Updated 2 years ago
- Scaling Data-Constrained Language Models☆342Updated 3 months ago
- ☆1,040Updated last year
- Keeping language models honest by directly eliciting knowledge encoded in their activations.☆209Updated last week
- Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate …☆635Updated 2 years ago
- Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference…☆211Updated 3 months ago