Making large AI models cheaper, faster and more accessible
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Updated
May 24, 2024 - Python
Making large AI models cheaper, faster and more accessible
A curated list of foundation models for vision and language tasks
Must-read Papers on Knowledge Editing for Large Language Models.
Implementation of Adaptive Machine Learning for Resource-Constrained Environments: A Comparative Study on CPU Utilization Prediction
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
Papers, codes, datasets, applications, tutorials.
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
This repository contains the python package for Helical
Recent research papers about Foundation Models for Combinatorial Optimization
Foundation model benchmarking tool. Run any model on Amazon SageMaker and benchmark for performance across instance type and serving stack options.
SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese
Images to inference with no labeling (use foundation models to train supervised models).
[IPCAI'2024 (IJCARS special issue)] Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Evaluation framework for oncology foundation models (FMs)
World Model based Autonomous Driving Platform in CARLA 🚗
Video Foundation Models & Data for Multimodal Understanding
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
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