Build a Jekyll blog in minutes, without touching the command line.

An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)

Practical course about Large Language Models.

Train transformer language models with reinforcement learning.

🌍 Discover our global repository of countries, states, and cities! 🏙️ Get comprehensive data in JSON, SQL, PSQL, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native l…

Repository that contains LLM fine-tuning and deployment scripts along with our research findings.

Open source annotation tool for machine learning practitioners.

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

DHS 2023 LLM Workshop by Sourab Mangrulkar

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…

This repository contains demos I made with the Transformers library by HuggingFace.

The EventKG is a novel multilingual resource incorporating event-centric information extracted from several large-scale knowledge graphs such as Wikidata, DBpedia and YAGO, as well as less structur…

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.

The official codes for "PMC-LLaMA: Continue Training LLaMA on Medical Papers"

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

🐙 Guides, papers, lecture, and resources for prompt engineering

A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Code for the paper "Language Models are Unsupervised Multitask Learners"

📖 A curated list of LegalNLP resources from all around the web.