Author: Deep Learner

huggingface

Designing the hf CLI as an agent-optimized way to work with the Hub

hf is the official command-line entrypoint to the Hugging Face Hub. Anything you can do on the Hub from the Python SDK, you can do from your terminal: download and upload models, datasets and Spaces; create and manage repos, branches, tags and pull requests; run Jobs on HF infrastructure; manage Buckets, Collections, webhooks and Inference Endpoints. The hf CLI has been primarily built for our users over the years. But it’s now increasingly used by coding agents: Claude Code, Codex, […]

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huggingface

EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios

Introduction Voice agent failures are often highly domain-specific. A system that flawlessly processes alphanumeric confirmation codes in flight re-booking transactions might stumble when handling complex policies in HR systems. Different domains test an agent’s ability to adapt to different vocabulary, workflow complexities and user expectations. So with this release, EVA-Bench expands from one enterprise domain to three: Airline Customer Service Management (CSM), Enterprise IT Service Management (ITSM), and Healthcare HR Service Delivery (HRSD). Together they span 213 evaluation scenarios across […]

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huggingface

Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI

The last two years have seen NVIDIA’s content safety stack grow from a focused English text classifier into a family of specialized models—each extending coverage to new modalities, languages, and inference modes. Nemotron 3 Content Safety, released in March 2026, combined multimodal and multilingual capabilities for the first time in a single 4B-parameter model. Today, we are releasing Nemotron 3.5 Content Safety, which completes that arc: a single model that unifies multimodal input, multilingual reach, custom enterprise policy enforcement, and […]

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huggingface

Amazing Digital Dentures (a failed project)

So my idea was simple and a bit complicated at the same time, Have you guys watched The Amazing Digital Circus? it’s an animated show which features an AI pair of dentures named caine who lives in a virtual circus with some digital clones of real human beings and he creates and sends them on an adventures everyday, so my project was inspired by that. A digital pet that sends you on adventures that may be useful to your   […]

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Neural Machine Translation (NMT), NMT Leave a comment

How I grade 200 exams every year

Three years ago, I took the introductory machine learning course over from Milan Straka, and one of the problems I had to deal with was: how do I grade 250 written exams without it consuming my entire life? (Part of the answer is of course ask colleagues for help, but this blog post is about technical stuff that is making it easier.) Milan had already established one good constraint: there is a fixed public list of exam questions that students […]

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Python

Quiz: How to Read User Input From the Keyboard in Python

Interactive Quiz ⋅ 9 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of How to Read User Input From the Keyboard in Python. By working through this quiz, you’ll revisit the input() function, type conversion, error handling with try and except, the getpass module for hidden input, and the PyInputPlus library for automatic validation. The quiz contains 9 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of […]

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Python

Quiz: How to Use GitHub Copilot Code Review in Pull Requests

Interactive Quiz ⋅ 9 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of How to Use GitHub Copilot Code Review in Pull Requests. By working through this quiz, you’ll revisit how to request a review from Copilot on your pull requests, apply or push back on its suggestions, configure automatic reviews, and use custom instructions to make Copilot’s feedback follow your team’s conventions. The quiz contains 9 questions and there is no time limit. You’ll get 1 […]

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Python

How to Use GitHub Copilot Code Review in Pull Requests

GitHub offers several AI tools under the Copilot umbrella that cover your entire development workflow. Copilot can provide an AI-powered code review shortly after you open a pull request on GitHub. Rather than waiting for a teammate, you can add Copilot as a reviewer to receive context-aware feedback. With access to your entire codebase, it delivers actionable suggestions that you can apply in just a few clicks: Pull requests are the standard collaborative workflow provided by GitHub and similar services […]

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Python

Quiz: Structuring Your Python Script

Interactive Quiz ⋅ 8 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of the video course Structuring Your Python Script. By working through this quiz, you’ll revisit how to make a Python script executable with a shebang, organize your imports per PEP 8, automatically sort imports with ruff, and define a clear entry point using if __name__ == “__main__”. These habits help you transition from quick experiments in the REPL to writing Python scripts that are easy […]

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