IEEE

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

Abstract: Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led ...
marktechpost

A Coding Implementation to Parsing, Analyzing, Visualizing, and Fine-Tuning Agent Reasoning Traces Using the lambda/hermes-agent-reasoning-traces Dataset

In this tutorial, we explore the lambda/hermes-agent-reasoning-traces dataset to understand how agent-based models think, use tools, and generate responses across multi-turn conversations. We start by ...
GitHub

point_maze_dataset.py

# In this tutorial you will learn how to re-create the Maze2D datasets from `D4RL <https://sites.google.com/view/d4rl/home>`_ [1] with Minari. # We will be using the ...
IEEE

Tutorial: HBM DRAM and 3D Stacked Memory

Abstract: The proliferation of machine-learning workloads has accelerated the demand for higher memory bandwidth in modern systems. HBM DRAM was developed to break through the system-performance limit ...
GitHub

run_inference_standalone.py

--ckpt-paths hf:salvaRC/u-cast/ucast_de2.ckpt hf:salvaRC/u-cast/ucast_de3.ckpt hf:salvaRC/u-cast/ucast_de4.ckpt \ Compute (1.5-degree, H200 GPU): ~10 sec/IC for 10 ...