huggingface

Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries

TL;DR — For those of you who don’t have time to read 5,000 words about async RL plumbing (we get it, you have models to train): The problem: In synchronous RL (reinforcement learning) training, data generation (model inference to create data samples) dominates wall-clock time — a single batch of 32K-token rollouts on a 32B (32-billion parameter) model can take hours, while the GPUs used for training remain idle. The solution everyone converged on: Disaggregate (separate) inference and training onto […]

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huggingface

Build an Agent That Thinks Like a Data Scientist: How We Hit #1 on DABStep with Reusable Tool Generation

The world of data is vast, but quantitative information is often sparse or unavailable in text form online, presenting a significant challenge for deep research agents. This post shares an architecture, NVIDIA KGMON (NeMo Agent Toolkit) Data Explorer, for building autonomous data analysis agents, developed by the NVIDIA Kaggle Grandmasters (KGMON) LLM Agent Research Team. The NVIDIA KGMON (NeMo Agent Toolkit) Data Explorer project introduces an agent specialized for dataset exploration and analysis, designed to handle the complexities of multi-step […]

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huggingface

Introducing Storage Buckets on the Hugging Face Hub

Hugging Face Models and Datasets repos are great for publishing final artifacts. But production ML generates a constant stream of intermediate files (checkpoints, optimizer states, processed shards, logs, traces, etc.) that change often, arrive from many jobs at once, and rarely need version control. Storage Buckets are built exactly for this: mutable, S3-like object storage you can browse on the Hub, script from Python, or manage with the hf CLI. And because they are backed by Xet, they are especially […]

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Python

Quiz: Your Python Coding Environment on Windows: Setup Guide

Interactive Quiz ⋅ 11 QuestionsBy Joseph Peart Share Test your understanding of Python Coding Setup on Windows. By working through this quiz, you’ll review the key steps for setting up a Python development environment on Windows. You’ll cover system updates, Windows Terminal, package managers, PowerShell profiles, environment variables, and safe use of remote scripts. You’ll also check practical details like configuring Path, managing Python versions, using version control, and streamlining your workflow. The quiz contains 11 questions and there is […]

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Python

Quiz: Working With Files in Python

Interactive Quiz ⋅ 12 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Working With Files in Python. By working through this quiz, you’ll revisit key techniques for handling files and directories in Python. You’ll practice safely opening files, iterating over directories, and filtering entries to select only files or subdirectories. You’ll also explore creating directories and managing files and directories, including deleting, copying, and renaming them. The quiz contains 12 questions and there is no time […]

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Python

Quiz: Create and Modify PDF Files in Python

Interactive Quiz ⋅ 10 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Creating and Modifying PDF Files in Python. By working through this quiz, you’ll practice reading, extracting, and modifying PDFs using the pypdf library. You’ll also review how to write new PDFs, concatenate and merge files, crop pages, and encrypt or decrypt documents. These skills help you automate PDF workflows and handle documents programmatically in Python. The quiz contains 10 questions and there is no […]

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Python

Quiz: Threading in Python

Interactive Quiz ⋅ 10 QuestionsBy Martin Breuss Share In this quiz, you’ll test your understanding of Threading in Python. By working through this quiz, you’ll revisit how to create and manage threads, use ThreadPoolExecutor, prevent race conditions with locks, and build producer-consumer pipelines with the queue module. You can also review the written tutorial An Intro to Threading in Python for additional details and code examples. The quiz contains 10 questions and there is no time limit. You’ll get 1 […]

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Python

Pydantic AI: Build Type-Safe LLM Agents in Python

Pydantic AI is a Python framework for building LLM agents that return validated, structured outputs using Pydantic models. Instead of parsing raw strings from LLMs, you get type-safe objects with automatic validation. If you’ve used FastAPI or Pydantic before, then you’ll recognize the familiar pattern of defining schemas with type hints and letting the framework handle the type validation for you. By the end of this tutorial, you’ll understand that: Pydantic AI uses BaseModel classes to define structured outputs that […]

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Python

Quiz: Python Descriptors: An Introduction

Interactive Quiz ⋅ 8 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Python Descriptors. By working through this quiz, you’ll revisit the descriptor protocol, how .__get__() and .__set__() control attribute access, and how to implement read only descriptors. You’ll also explore data vs. non-data descriptors, attribute lookup order, and the .__set_name__() method. These exercises help you reason about real descriptor behavior and see when and why to use them in your code. The quiz contains 8 […]

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