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cuad

CUAD (NeurIPS 2021)

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

graphgpt

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hh-rlhf

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

langchain

⚡ Building applications with LLMs through composability ⚡

llm-attacks

Universal and Transferable Attacks on Aligned Language Models

llm-guard

The Security Toolkit for LLM Interactions

llm-security

New ways of breaking app-integrated LLMs

makrehchitr

Config files for my GitHub profile.

mentalllama

This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.

nemo-guardrails

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

open-prompt-injection

Prompt injection attacks and defenses in LLM-integrated applications

openai-cookbook

Examples and guides for using the OpenAI API

openchatkit

practical-nlp-code

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

reinforcement-learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

scikit-llm

Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

tensor-trust

A prompt injection game to collect data for robust ML resesarch

the-art-of-data-science

An interactive online reading of Matsui and Peng's The Art of Data Science

what_are_embeddings

A deep dive into embeddings starting from fundamentals