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Making large AI models cheaper, faster and more accessible
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Chronos: Pretrained Models for Time Series Forecasting
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models