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Category: Tutorials

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A Developer’s Guide to OmniParseBench: Leaderboard Benchmarks and OCR Testing
  • agentic AI
  • AI
  • AI infrastructure
  • Artificial Intelligence
  • Computer Vision
  • Editors Pick
  • Embedding Model
  • For Devs
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  • Tutorials

A Developer’s Guide to OmniParseBench: Leaderboard Benchmarks and OCR Testing

  • 0

In this tutorial, we implement OmniParseBench, Datalab’s open benchmark for document parsers, which grades a parser’s output with 16,288 small […]

A Coding Guide to Cactus Whistle: Does a 16.9 MB Speech Model Hold Up Against Whisper Base? Word Error Rate, Speed, Streaming, Timestamps, Keywords, and Speech-to-Tool Calls on a CPU
  • agentic AI
  • AI
  • Artificial Intelligence
  • Audio Language Model
  • Editors Pick
  • For Devs
  • Language Model
  • Staff
  • Technology
  • Tutorials
  • Voice AI

A Coding Guide to Cactus Whistle: Does a 16.9 MB Speech Model Hold Up Against Whisper Base? Word Error Rate, Speed, Streaming, Timestamps, Keywords, and Speech-to-Tool Calls on a CPU

  • 0

In this tutorial, we use Whistle, Cactus Compute’s speech-to-text model, a 16.9 MB file that runs on a CPU, transcribes […]

NVIDIA Nsight Python Tutorial: How to Profile GPU Kernels
  • AI
  • AI infrastructure
  • Artificial Intelligence
  • Editors Pick
  • For Devs
  • Python
  • Software Engineering
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NVIDIA Nsight Python Tutorial: How to Profile GPU Kernels

  • 0

In this tutorial, we implement on Nsight Python, NVIDIA’s open-source Python interface to its kernel profilers. Instead of running a […]

How to Make Zero-Training Tabular Predictions with NVIDIA Structured Data Models
  • AI
  • Applications
  • Artificial Intelligence
  • Big Data
  • Data Science
  • Editors Pick
  • Machine Learning
  • Staff
  • Technology
  • Tutorials

How to Make Zero-Training Tabular Predictions with NVIDIA Structured Data Models

  • 0

In this tutorial, we implement Structured Data Models, NVIDIA’s new library that puts several pretrained foundation models for tables behind […]

How to Use Meta’s Rebalancer for Task Placement & Optimization
  • agentic AI
  • AI
  • AI infrastructure
  • Applications
  • Artificial Intelligence
  • Editors Pick
  • For Devs
  • Language Model
  • Large Language Model
  • Machine Learning
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  • Technology
  • Tutorials

How to Use Meta’s Rebalancer for Task Placement & Optimization

  • 0

In this tutorial, we implement the Rebalancer, Meta’s assignment solver, with a C++ core and a Python binding. We describe […]

Google Research RRSI Guide: Mastering Self-Improving AI Agents
  • agentic AI
  • AI
  • AI Agents
  • Editors Pick
  • For Devs
  • Software Engineering
  • Staff
  • Tutorials

Google Research RRSI Guide: Mastering Self-Improving AI Agents

  • 0

In this tutorial, we implement RRSI (Regularized Recursive Self-Improvement), a method that lets an LLM agent rewrite its own harness, […]

A Developer’s Guide to Laya: Zero-Shot Decisions and Calibration
  • AI
  • Artificial Intelligence
  • Editors Pick
  • Language Model
  • Large Language Model
  • Machine Learning
  • Staff
  • Tech News
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  • Tutorials

A Developer’s Guide to Laya: Zero-Shot Decisions and Calibration

  • 0

In this tutorial, we work with Laya, the open-source decision engine from Convai Innovations that became one of the most-starred […]

Inside NVIDIA’s IsaacTeleop: From Hand and Controller Tracking to Robot Actions with the Graph-Based Retargeting Engine
  • agentic AI
  • AI
  • Editors Pick
  • Physical AI
  • Robotics
  • Staff
  • Tutorials

Inside NVIDIA’s IsaacTeleop: From Hand and Controller Tracking to Robot Actions with the Graph-Based Retargeting Engine

  • 0

In this tutorial, we work through the retargeting engine at the core of NVIDIA IsaacTeleop, the framework that turns XR […]

A Coding Guide to Google Research’s Kauldron: Configs That Are Plain Data, Components Wired by String, and a JAX Trainer You Can Read End to End
  • AI
  • AI infrastructure
  • Applications
  • Artificial Intelligence
  • Deep Learning
  • Editors Pick
  • For Devs
  • Language Model
  • Large Language Model
  • Machine Learning
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  • Technology
  • Tutorials

A Coding Guide to Google Research’s Kauldron: Configs That Are Plain Data, Components Wired by String, and a JAX Trainer You Can Read End to End

  • 0

In this tutorial, we implement Kauldron, the JAX training library from Google Research that describes itself as optimized for research […]

A Coding Guide to Google Research’s MSEB: Writing Sound Encoders to the Benchmark Contract and Scoring Them Across Classification, Clustering, Retrieval and Segmentation
  • AI
  • AI infrastructure
  • Applications
  • Artificial Intelligence
  • Editors Pick
  • Machine Learning
  • Staff
  • Technology
  • Tutorials

A Coding Guide to Google Research’s MSEB: Writing Sound Encoders to the Benchmark Contract and Scoring Them Across Classification, Clustering, Retrieval and Segmentation

  • 0

In this tutorial, we work with MSEB, the Massive Sound Embedding Benchmark from Google Research, and approach it from the […]

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