HuggingGPT: Leveraging LLMs to Solve Complex AI Tasks with Hugging Face Models

A recent paper by researchers at Zhejiang University and Microsoft Research Asia explores the use of large language models (LLMs) as a controller to manage existing AI models available in communities like Hugging Face.

Meta Open-sourced AI Tool to Animate Child and Amateur Drawings of Human Figure

Based on a joint research by Meta AI Research, Tencent America, MIT CSAIL, and Carnegie Mellon, Meta released Animated Drawings, an AI-based tool to create animations from hand drawn human-like characters.

Hugging Face Presents HuggingChat, Open Source Alternative to ChatGPT

HuggingChat is a new AI-powered chatbot available for testing on Hugging Face. HuggingChat is able to carry through many tasks that have made ChatGPT attract lot of interest recently, including drafting articles, solve coding problems, or answer questions.

Efficiently Applying LLMs to Transform Semi-Structured Data

LLMs can be an effective way to generate structured data from semi-structured data, although an expensive one. A team of Stanford and Cornell researchers claim to have found a technique to reduce inference costs by 110x while improving inference quality.

Running Large Language Models Natively on Mobile and Laptops

MLC LLM is a new open source project aimed to enable deploying large language models on a variety of hardware platforms and applications. It additionally includes a framework to optimize model performance for each specific use case.