alephic / prompt-fabLinks
Toolkit for building prompt templates for language models
☆12Updated 2 years ago
Alternatives and similar repositories for prompt-fab
Users that are interested in prompt-fab are comparing it to the libraries listed below
Sorting:
- ☆13Updated 2 years ago
- ☆72Updated 2 years ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆311Updated 2 years ago
- Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference…☆208Updated 2 months ago
- The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.☆178Updated 3 years ago
- ☆66Updated 2 years ago
- Pipeline for pulling and processing online language model pretraining data from the web☆177Updated 2 years ago
- Multi-LexSum is an abstractive summarization dataset for US Civil Rights Lawsuits☆19Updated 2 years ago
- Multidocument Summarization for Literature Review Shared Task 2022☆30Updated 2 years ago
- ☆95Updated last year
- A sandbox repo for grounded question answering with Cohere and Google Search☆136Updated 2 years ago
- The official code of EMNLP 2022, "SCROLLS: Standardized CompaRison Over Long Language Sequences".☆70Updated last year
- A library to create and manage configuration files, especially for machine learning projects.☆79Updated 3 years ago
- Utilities for the HuggingFace transformers library☆70Updated 2 years ago
- Datasets collection and preprocessings framework for NLP extreme multitask learning☆186Updated last month
- ☆75Updated 4 years ago
- Tools for managing datasets for governance and training.☆85Updated this week
- ☆44Updated 8 months ago
- ☆13Updated last year
- Human-free quality estimation of document summaries☆97Updated last year
- ☆289Updated last year
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆132Updated last year
- Probabilistic LLM evaluations. [CogSci2023; ACL2023]☆73Updated last year
- Repository collecting resources and best practices to improve experimental rigour in deep learning research.☆27Updated 2 years ago
- ☆12Updated 2 years ago
- A framework for few-shot evaluation of autoregressive language models.☆105Updated 2 years ago
- Code and Data for Evaluation WG☆42Updated 3 years ago
- ☆97Updated 3 years ago
- ☆14Updated last year
- Repository for Zheng and Guha et al., 2021, "When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Data…☆90Updated 2 years ago