Say More Look Up In My Bag Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Trending Now Mashable Selects Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook AI at School Safety Net All Series'Daily Red' is like Wordle for Pokémon battles -- how to play this addictive game for free Because you haven't truly suffered until you're forced to fight a Level 100 Snorlax with a random Luvdisc. Soumya is a deals writer who covers consumer tech, shopping deals, and the products people use every day. With experience writing about everything from AI tools and software to smartphones and home gadgets, she enjoys breaking down product research into clear, useful recommendations. When she's not tracking deals, she's usually comparing products, digging through reviews, and figuring out what actually makes a purchase worth it. All products featured here are independently selected by our editors and writers.

Post-training has emerged as a crucial technique for aligning pre-trained Large Language Models (LLMs) with human instructions, significantly enhancing their performance across a wide range of tasks. Central to this process is the quality and diversity of post-training datasets. This paper presents a review of publicly available Arabic post-training datasets on the Hugging Face Hub, organized along four key dimensions: (1) LLM Capabilities (e.g., Question Answering, Translation, Reasoning, Summarization, Dialogue, Code Generation, and Function Calling); (2) Steerability (e.g., Persona and System Prompts); (3) Alignment (e.g., Cultural, Safety, Ethics, and Fairness); and (4) Robustness. Each dataset is rigorously evaluated based on popularity, practical adoption, recency and maintenance, documentation and annotation quality, licensing transparency, and scientific contribution. Our review revealed critical gaps in the development of Arabic post-training datasets, including limited task diversity, inconsistent or missing documentation and annotation, and low adoption across the community. Finally, the paper discusses the implications of these gaps on the progress of Arabic-centric LLMs and applications while providing concrete recommendations for future efforts in Arabic post-training dataset development.

VMworld 2019 US and Europe events feature many opportunities to learn about the latest in VMware vSphere server virtualization technology and operations. This page is a quick reference to the VMworld 2019 sessions and other events where customers are able to engage with VMware experts on a range of topics, as well as network with industry peers. Links to the EU sessions will be added to the coming days. You can also still access the presentations, recordings, and session information from last year here – VMworld 2018 Archive. How PowerCLI Makes vSphere Configuration Management Easy Level 300 – [US: CODE2214U] Configuration management is a key DevOps principle. PowerShell and PowerShell DSC are easy ways to make use of config management in your environment. However, there's one area that's been missing that ability: VMware. PowerCLI has introduced the key to close that gap, and it's open-sourced! The Art of Code That Writes Code Level 300 – [US: CODE2216U] REST APIs are everywhere these days. A majority of those are backed by what's known as OpenAPI (swagger) specifications. Using the vast ecosystem of OpenAPI tooling, we can generate documentation, SDKs, and even PowerShell modules.