Boosting Text Retrieval with CLIP Models, Rethinking Retrieval Augmented Generation, and Deciphering Human Behavior through MotionLLM
MP3•Episode home
Manage episode 421780078 series 3568650
Content provided by PocketPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PocketPod or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
AI Papers Podcast for 06/03/2024
Jina CLIP: Your CLIP Model Is Also Your Text Retriever Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts MotionLLM: Understanding Human Behaviors from Human Motions and Videos Xwin-LM: Strong and Scalable Alignment Practice for LLMs MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model69 episodes