TLDR AI 2023-04-05
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01HEADLINES & LAUNCHES
BUILDING GENERATIVE AI APPLICATIONS
REVOLUTION
02RESEARCH & INNOVATION
MORE DATA IS BETTER, EVEN FOR ROBOTS
HOW DOES RLHF CHANGE THE INNER-WORKINGS OF TRANSFORMERS?
ANOTHER LLAMA MODEL JOINS THE ZOO
Similar to Alpaca from Stanford, Koala was trained on dialog and instruction data. However, they didn’t use distillation from the OpenAI models, but sourced their data from freely available sources on the web. Their model actually seems comparable to strong closed source models and the code to fine-tune along with the dataset are available for further study.
03ENGINEERING & RESOURCES
FOLLOW YOUR POSE: TEXT-TO-VIDEO GENERATION USING POSE-FREE VIDEOS
This paper proposes a two-stage training scheme for generating text-editable and pose-controllable character videos, using easily obtainable datasets and a pre-trained text-to-image model. The method successfully generates pose-controllable character videos and retains the editing abilities of the pre-trained model.
FAST REAL-TIME VIDEO ENHANCEMENT
ReBotNet is a video model that is designed to enhance live streams and video conferences in real-time. They use a dual-branch network that learns different types of video abstractions like location and time based ones. They then use a common decoder network to output the enhanced frames. It runs at 50 fps, uses about 5gb of memory and performs on par with models 8x larger.
BABYAGI
Babyagi is a Python AI-powered task management system.