Categories: AI/ML News

Multimodal and reasoning LLMs supersize training data for dexterous robotic tasks

For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks—especially compared to how long it takes to collect real-world training data.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Flux Kontext is great changing titles

Flux Kontext can change a poster title/text while keeping the font and style. It's really…

2 hours ago

Linear Layers and Activation Functions in Transformer Models

This post is divided into three parts; they are: • Why Linear Layers and Activations…

2 hours ago

LayerNorm and RMS Norm in Transformer Models

This post is divided into five parts; they are: • Why Normalization is Needed in…

2 hours ago

From R&D to Real-World Impact

Palantir’s Advice for the White House OSTP’s AI R&D PlanEditor’s Note: This blog post highlights Palantir’s…

2 hours ago

Build and deploy AI inference workflows with new enhancements to the Amazon SageMaker Python SDK

Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and…

2 hours ago

How to build Web3 AI agents with Google Cloud

For over two decades, Google has been a pioneer in AI, conducting groundwork that has…

2 hours ago