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

Traditional LLM fine-tuning requires extensive labeled datasets, creating barriers for smaller teams. DeepSeek R1 RL techniques address this by enabling models to fine-tune on smaller, specialized datasets, which are easier for smaller teams to collect. This is especially valuable in domains like math, where outcomes can be automatically verified a

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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

📦 Service Deployment - Ray Serve (https://lnkd.in/eAV-Y6RN)

🧰 Data Transformation - Ray Data (https://lnkd.in/e7wYmenc)

🔌 LLM Integration - AIConfig (https://lnkd.in/esvH5NQa)

🗄 Vector Database - Weaviate (https://weaviate.io/)

📚 Supervised LLM Fine-Tuning - HuggingFace TLR (https://lnkd.in/e8_QYF-P)

📈 LLM Observability - Weights & Biases Tra... See more