AI Sharing Circle

General Omnitool.ai is an open source "AI lab" designed to provide an extensible browser-based desktop environment for learners, hobbyists, and anyone interested in current AI innovations. It allows users to collaborate through a single unified interface with a wide range of AI professionals from OpenAI, repl...

General Description Bardeen AI is an automated workflow platform designed to boost team productivity. Through seamless integration with commonly used tools, Bardeen AI automates repetitive tasks, simplifies data management, and enhances team collaboration. Users don't need to write code...

Comprehensive Introduction Step-Video-T2V is an advanced text-to-video conversion model by StepFun AI (StepFun Star). The model has 3 billion parameters and is capable of generating videos up to 204 fps. With a deeply compressed Variable Auto-Encoder (VAE), the model...

General Introduction OmniParser is a tool developed by Microsoft to parse user interface screenshots into structured and easy-to-understand elements. This tool significantly improves the ability of GPT-4V to generate accurate actions in the corresponding interface area.OmniParser not only supports...

General Introduction genspark2api is an open source API service tool hosted on GitHub and created by developer deanxv. It provides an interface service that supports multi-model dialogs, text-to-graphs and text-to-video, and users can use Doc...

This document is a PPT of a talk given at Stanford University by Barret Zoph and John Schulman, OpenAI's pre- and post-training leaders (and OpenAI co-founders), sharing their experience in OpenAI's development of Ch...

This is a reprinted article, according to the previously written: "Using intelligent programming tools Trae to create an all-purpose writing platform", the next episode will be about how to use Trae to empower the local knowledge base, by the server crash restrained for two days, happened to read this article on the borrowed flowers, as the original article's sister...

Introduction This course will cover: How to effectively plan for the deployment of AI Agent to a production environment. Common mistakes and problems you may encounter when deploying AI Agent to a production environment. How to manage costs while maintaining AI Agent performance. ...

Introduction Welcome to the course on Metacognition in AI Agent! This chapter is designed for beginners interested in how AI Agents think about their own thought processes. By the end of this course, you will understand the key concepts and have mastered applying metacognition in AI Agent design...

When you start working on a project that involves multiple intelligences, you need to consider the Multi-Intelligence Design Pattern. However, it may not be obvious when to move to multi-intelligents and what the advantages are. Introduction In this course, Microsoft attempts to answer the following questions: What scenarios are applicable to the Multi-Intelligent...