huggingface

Adding Benchmaxxer Repellant to the Open ASR Leaderboard

“When a measure becomes a target, it ceases to be a good measure.” (Goodhart’s Law) TLDR: Appen Inc. and DataoceanAI have provided high-quality English ASR datasets covering scripted and conversational speech over multiple accents. To prevent potential risks of benchmaxxing or test-set contamination, we will keep these datasets private for a high-quality measure of performance on multiple tasks. We’re not updating the average WER at this time: by default, the leaderboard’s Average WER remains computed on public datasets only. You […]

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huggingface

vLLM V0 to V1: Correctness Before Corrections in RL

PipelineRL uses vLLM as the inference engine for rollout generation. The inference engine samples tokens and returns token logprobs; the trainer uses those logprobs to compute policy ratios, KL, clip rate, entropy, and reward. Any discrepancy in how those logprobs are computed can change the training dynamics. This is the train-inference mismatch we needed to eliminate during the vLLM V0 to V1 migration. TL;DR. vLLM V1 matched our vLLM V0 reference after we fixed four things: processed rollout logprobs, V1-specific […]

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huggingface

EMO: Pretraining mixture of experts for emergent modularity

🧠 Models: https://huggingface.co/collections/allenai/emo | 📄 Tech report: https://allenai.org/papers/emo | 💻 Code: https://github.com/allenai/EMO | 📊 Visualization: https://emovisualization.netlify.app/ Today we’re releasing EMO, a new mixture-of-experts (MoE) model pretrained end-to-end so that modular structure emerges directly from the data without relying on human-defined priors. EMO lets you use a small subset of its experts – just 12.5% of the total – for a given task while keeping near full-model performance, and still works as a strong general-purpose model when all experts are used […]

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huggingface

MachinaCheck: Building a Multi-Agent CNC Manufacturability System on AMD MI300X

Built at the AMD Developer Hackathon on lablab.ai — May 2026 The Problem We Solved Walk into any small CNC machine shop and ask the manager how they decide whether to accept a customer job. The answer is almost always the same: they print the drawing, read every dimension by hand, walk around the shop checking which tools are available, estimate whether their machines can hold the required tolerances, and write notes on a clipboard. The whole process takes 30 […]

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Python

Quiz: Memory Management in Python

Interactive Quiz ⋅ 10 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Memory Management in Python. By working through this quiz, you’ll revisit how Python handles memory allocation and freeing, the role of the Global Interpreter Lock, and how CPython organizes memory using arenas, pools, and blocks. Give it a shot! The quiz contains 10 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, […]

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Python

Quiz: Qt Designer and Python: Build Your GUI Applications Faster

Interactive Quiz ⋅ 10 QuestionsBy Joseph Peart Share In this quiz, you’ll test your knowledge of Qt Designer and Python: Build Your GUI Applications Faster. By working through this quiz, you’ll revisit how Qt Designer turns visual designs into .ui files, how layout managers control widget geometry, how signals and slots connect user actions to your code, and how to load .ui files into a PyQt application with pyuic5 or uic.loadUi(). The quiz contains 10 questions and there is no […]

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Python

Quiz: How to Use OpenCode for AI-Assisted Python Coding

Interactive Quiz ⋅ 9 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of How to Use OpenCode for AI-Assisted Python Coding. By working through these questions, you’ll revisit how to install OpenCode, connect it to an AI provider, configure project context with AGENTS.md, and take advantage of features like mid-session model switching and built-in language servers. If you’d like a broader look at AI-assisted Python development, you can also follow the Python Coding With AI learning path. […]

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Python

Quiz: Python & APIs: A Winning Combo for Reading Public Data

Interactive Quiz ⋅ 12 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Python & APIs: A Winning Combo for Reading Public Data. By working through this quiz, you’ll revisit how APIs send requests and responses, how the requests library works, what status codes and headers mean, and how to handle authentication, pagination, and rate limits in your own code. Good luck! The quiz contains 12 questions and there is no time limit. You’ll get 1 point […]

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Python

Quiz: Python Application Layouts: A Reference

Interactive Quiz ⋅ 9 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Python Application Layouts: A Reference. By working through this quiz, you’ll revisit how to structure one-off scripts, installable packages, larger applications with internal packages, and web projects built with Django or Flask. A dependable starting layout helps you avoid coder’s block so you can focus on writing code instead of figuring out where it should live. The quiz contains 9 questions and there is […]

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