Macaw-LLM
Explore the innovative integration of images, audio, video, and text data in this project. Utilizing leading models like CLIP, Whisper, and LLaMA, the project offers efficient alignment for multi-modal data, along with features such as one-stage instruction fine-tuning and a novel multi-modal instruction dataset. An ideal tool for investigating the prospects of multi-modal LLMs, fostering research for comprehending intricate real-world situations.
