TLDR AI 2023-03-09

FOR CRM

RUN STABLE DIFFUSION IN THE BROWSER WITH WEBGPU

This project brings stable diffusion models to web browsers. Everything runs inside the browser with no need of server support. This is the first example of the pre-trained model running on a client’s GPU from the browser. It still has some rough edges and sometimes results in browser crashing, but it is an exciting step towards a more modular future.

HOW GOOGLE BECAME CAUTIOUS OF AI AND GAVE MICROSOFT AN OPENING

More than two years ago, a pair of Google researchers started pushing the company to release a powerful chatbot. The conversational AI they had developed could confidently debate philosophy and banter about its favorite TV shows, while improvising puns about cows and horses. The researchers told colleagues that chatbots like theirs, supercharged by recent advances in AI, would revolutionize the way people searched the internet and interacted with computers, according to people who heard the remarks. They pushed Google to give access to the chatbot to outside researchers, tried to get it integrated into the Google Assistant virtual helper and later asked for Google to make a public demo available. Google executives rebuffed them at multiple turns.

LARGE LANGUAGE MODELS DO IN-CONTEXT LEARNING DIFFERENTLY

As model size increases large language models seem to exhibit some amazing emergent behavior. This paper explores the phenomenon of “in-context learning”. They find that smaller models rely on their semantic priors and ignore examples that are wrong while larger models learn from the new examples.

MODELS

Researchers from Microsoft introduce Visual ChatGPT, a system that combines ChatGPT language model with different visual models, enabling users to interact with ChatGPT using both language and images. The system allows users to provide feedback and ask for corrected results. It injects visual model information into ChatGPT and considers models with multiple inputs/outputs and those that require visual feedback.

X-AVATAR: EXPRESSIVE HUMAN AVATARS

X-Avatar is a new avatar model that captures the full expressiveness of digital humans. It can be learned from 3D scans or RGB-D data and models bodies, hands, facial expressions, and appearance holistically. The method uses a learned forward skinning module and novel sampling strategies. The paper also contributes a new dataset called X-Humans. The proposed method outperforms strong baselines on the animation task.

VISUAL PERCEPTION WITH PRE-TRAINED DIFFUSION MODELS

VPD (Visual Perception with Pre-trained Diffusion Models) is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.

DIFFUSION MODELS FOR ROBOTICS

If you diffuse a motion path, robotic control becomes significantly more effective! The diffusion process improves the ability of robot manipulators to accomplish challenging tasks.

EMERGENT ABILITIES OF LARGE LANGUAGE MODELS

THE AI FUTURE OF FRONTEND DEVELOPMENT

LEETCODE PROBLEM

The creator ran ChatGPT against every single challenge and recorded the results. The author explores everything he’s learned in exploring AI and ChatGPT to solve this specific niche of problems.

LLAMA-DL

Llama-dl is a high-speed download of Facebook's LLaMA model.

TSAI

Tsai is an open-source deep learning package.