Inference code for Llama models

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Git的奇技淫巧

FinRL®: Financial Reinforcement Learning. 🔥

Model parallel transformers in JAX and Haiku

Robust recipes to align language models with human and AI preferences

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparen…

Recipes to train reward model for RLHF.

Democratizing Internet-scale financial data.

Pushshift API

InstructLab Core package. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.

Granite Code Models: A Family of Open Foundation Models for Code Intelligence

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

BookNLP, a natural language processing pipeline for books

RewardBench: the first evaluation tool for reward models.

[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

Fast Inference Solutions for BLOOM

Multi-agent Social Simulation + Efficient, Effective, and Stable alternative of RLHF. Code for the paper "Training Socially Aligned Language Models in Simulated Human Society".

SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.

🦄 Unitxt is a Python library for enterprise-grade evaluation of AI performance, offering the world's largest catalog of tools and data for end-to-end AI benchmarking

Here is a collection of checkpoints for DALLE-pytorch models, from where you can keep on training or start generating images.

This is a summary of easily available datasets for generalized DALLE-pytorch training.

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

code for document level AMR representation and evaluation

Read compressed NDJSON .zst files easily

[NAACL'21 Demo] EventPlus: a temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument…