Showing 61-80 of 99 projects
A curated reading list for security, safety, and privacy of large language models (LLMs) and AI systems.
Self-contained Machine Learning and Natural Language Processing library in Go
A powerful NLP library for transfer learning and building question answering systems.
Comprehensive resources for in-context learning and prompt engineering for large language models like ChatGPT and GPT-3.
An open-source Chinese conversational AI model with tools for fine-tuning and optimizing the model for downstream tasks.
Automatically generate architecture diagrams from code using large language models (LLMs).
The official implementation of RAPTOR, a framework for Recursive Abstractive Processing for Tree-Organized Retrieval.
Macaw-LLM is a multi-modal language modeling framework that integrates image, video, audio, and text data.
An efficient C++ implementation of the RWKV language model for fast CPU inference on various bit-width quantizations.
A PyTorch implementation of OpenAI's pre-trained transformer language model for fine-tuning and inference.
Pre-trained Chinese ELECTRA language model for natural language processing tasks.
A curriculum for learning about foundation models, from scratch to the frontier for AI-focused developers.
Unofficial API wrapper for Perplexity.ai with a web interface for generating Perplexity AI accounts
A comprehensive toolkit for Rime, a popular open-source input method engine, focused on language models, dictionaries, and grammar.
An open-source Chinese AI dungeon game that uses the OpenAI ChatGPT API for storytelling.
Korean BERT pre-trained model for natural language processing tasks in the Korean language.
Use pre-trained transformer models like BERT, GPT-2, and XLNet in the spaCy NLP library.
A JavaScript tool for calculating token/s and GPU memory requirements for large language models like LLaMa.
An open-source framework for building knowledgeable large language models with fine-tuning capabilities.
A library that helps developers train BERT-type language models with limited compute resources.
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