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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Instruction Tuning with GPT-4
总结Prompt&LLM论文,开源数据&模型,AIGC应用
🦦 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.
InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
Synthetic data curation for post-training and structured data extraction
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤