Showing 1-19 of 19 projects
Fine-tuning framework for 100+ LLMs & VLMs
LLaVA is a visual instruction tuning framework for large language and vision models, enabling GPT-4 level capabilities.
A collection of multimodal large language models and their latest advances.
A Python library for processing and analyzing data with foundation models and large language models.
An instruction-tuned LLM with Chinese medical knowledge for AI-powered healthcare applications.
Instruction Tuning with GPT-4, a library for fine-tuning large language models like GPT-4 for custom tasks.
Code and models for a multimodal large language model that can perform any-to-any tasks
A large-scale vision-language model for video understanding and generation.
This GitHub repository is a collection of AI-related papers, datasets, and applications focused on prompt engineering and large language models.
An open-source, instruction-tuned audio-visual language model for video understanding
A comprehensive multimodal system for long-term streaming video and audio interactions using large language models.
A unified platform for researchers to easily use and integrate various large language models and parameter-efficient techniques.
A powerful multi-modal large language model family for building advanced AI chatbots and visual recognition models.
A video foundation model and dataset for multimodal understanding and video understanding tasks.
Cambrian-1 is a multimodal LLM with a vision-centric design for building AI-powered chatbots and applications.
A Python library for synthetic data curation and structured data extraction for machine learning models.
An open-source framework for building knowledgeable large language models with fine-tuning capabilities.
A curated collection of open-source datasets for training instruction-following large language models (LLMs) like ChatGPT and LLaMA.
DataDreamer is a Python library for generating synthetic data, fine-tuning and aligning large language models.
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