Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Human and Machine IntelligenceStudents will learn to tackle the challenges of designing and building artificial intelligent systems that attain or exceed human-level performance in complex tasks. Suggested subjects are 6.034, 6.006 and 6.009.

📖 Introduction

XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. It is designed to be a general-purpose agent that can be applied to a wide range of tasks. XAgent is still in its early stages, and we are working hard to improve it.

🏆 Our goal is to create a super-in... See more

Repository for the paper "The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning", including 1.84M CoT rationales extracted across 1,060 tasks"

Paper Link : https://arxiv.org/abs/2305.14045

To sum it all up for the TL;DR crowd, here’s what we did:-Create consensus that there is a problem and alignment around pursuing a solution -Create a unified view of all existing work

🤖 Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

• Why CrewAI


• Getting Started


• Key Features


• Examples


• Local Open Source Models


• CrewAI x AutoGen x ChatDev


• Contribution


• 💬 CrewAI Discord Community


• Hire Consulting


• Licen

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目前做大模型+机器人的 最大难点,在于获取数据 。谷歌和微软都选择了从收集家用动作入手,未来其他场景,比如办公室、街道、商场、工厂,如果能训练出来一个个小模型,融入到底层大模型里面,将会是创业公司的重要壁垒。