In this tutorial, we implement OmniParseBench, Datalab’s open benchmark for document parsers, which grades a parser’s output with 16,288 small […]
Category: Tutorials
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
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
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
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
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
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
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
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
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
In this tutorial, we work with MSEB, the Massive Sound Embedding Benchmark from Google Research, and approach it from the […]
