Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
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Updated
Jul 2, 2024 - Jupyter Notebook
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
Docker image for LLaVA: Large Language and Vision Assistant
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
🔥 [ECCV2024] Official Implementation of "GiT: Towards Generalist Vision Transformer through Universal Language Interface"
Making large AI models cheaper, faster and more accessible
Papers, codes, datasets, applications, tutorials.
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
The official evaluation suite and dynamic data release for MixEval.
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
Recent research papers about Foundation Models for Combinatorial Optimization
Low-latency ONNX and TensorRT image segmentation with contrastive language-image pre-training based prompts
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
[MICCAI 2024] PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
FEMR (Framework for Electronic Medical Records) provides tooling for large-scale, self-supervised learning using electronic health records
[ECCV 2024] PointLLM: Empowering Large Language Models to Understand Point Clouds
Information and materials for the Turing's Foundation Models reading group.
日本語LLMまとめ - Overview of Japanese LLMs
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
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