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

here are two basic approaches to creating AI datasets. The first one, which is typical of the case we have been studying, a pool of open works is purposefully chosen to ensure license compliance. The second approach creates the dataset by scraping the “raw internet” and relying on copyright exceptions. LAION , a dataset of 400 million image-text pa... See more

The Nemotron-3 8B family is available in the Azure AI Model Catalog, HuggingFace, and the NVIDIA AI Foundation Model hub on the NVIDIA NGC Catalog. It includes base, chat, and question-and-answer (Q&A) models that are designed to solve a variety of downstream tasks. Table 1 shows the full family of foundation models.

Model

Variant

Key Benefit

Ba... See more

Model Explorer is a powerful graph visualization tool that helps one understand, debug, and optimize ML models. It specializes in visualizing large graphs in an intuitive, hierarchical format, but works well for smaller models as well.

Graph visualization plays a pivotal role in the machine learning (ML) development process. Visual representations o... See more

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。

最全 RAG 教程开源！⚡️ 🤯🤯 介绍 22+ RAG 技术，配备 Notebook 可以实战学习每一种技术，并通过数据+评测查看 RAG 带来的指标提升！🔥 包括 Fusion Retrieval、Intelligent Reranking、Semantic Chunking 等 开源地址：👉https://t.co/pVLthT7em0... See more