Stars
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Running large language models on a single GPU for throughput-oriented scenarios.
λprompt - A functional programming interface for building AI systems
Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference, and more.
Development repository for the Triton language and compiler
Fast and memory-efficient exact attention
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Ongoing research training transformer models at scale
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.
A search engine for ParlAI's BlenderBot project (and probably other ones as well)
Code and data for the paper: "Unsupervised Common Sense Question Answering with Self-Talk"
📘 Automatic documentation from sources, for MkDocs.
OpenChat: Easy to use opensource chatting framework via neural networks
With the aim of building next generation virtual assistants that can handle multimodal inputs and perform multimodal actions, we introduce two new datasets (both in the virtual shopping domain), th…
PyTorch extensions for high performance and large scale training.
A specification that python filesystems should adhere to.
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
An extended commonmark compliant parser, with bridges to docutils/sphinx
A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.
A comprehensive reference for all topics related to Natural Language Processing