Latest news with #GitHub
Hans India
27 minutes ago
- Hans India
Google launches AI Edge Gallery App to run hugging face models offline on phones
Keywords: Google AI Edge Gallery, offline AI models, Hugging Face, Android AI apps, iOS AI app, AI on-device, edge computing, local AI models, AI Prompt Lab, Google Gemma, Apache 2.0 license, experimental alpha release, AI development, Google open source AI, mobile AI Google has quietly unveiled a new app called AI Edge Gallery, enabling users to download and run AI models from Hugging Face directly on their smartphones — entirely offline. Currently available for Android (with iOS support coming soon), this experimental Alpha release allows local execution of image generation, Q&A, code writing, and more using compatible models like Google's Gemma 3n. Users can browse models by task, such as 'AI Chat' or 'Ask Image,' and launch them via an intuitive interface. A built-in Prompt Lab supports quick, single-turn tasks like summarizing and rewriting content, offering customizable templates and settings for developers to explore. While cloud-based models remain more powerful, the local alternative prioritizes data privacy, speed (on modern devices), and offline accessibility, especially useful where internet is unreliable. Performance will vary based on device specs and model size. Licensed under Apache 2.0, the app is open for commercial and personal use, and Google is inviting developer feedback to improve its capabilities. Developers can download Google AI Edge Gallery from GitHub by following provided instructions.
Jordan News
5 hours ago
- Jordan News
Google Launches App to Run AI Models Without Internet - Jordan News
Last week, Google quietly released a new app that allows users to run a variety of artificial intelligence models—available through the Hugging Face platform—directly on their smartphones, without needing an internet connection. اضافة اعلان The app, named Google AI Edge Gallery, is currently available for Android devices and is expected to launch soon on iOS. It enables users to search, download, and run compatible AI models offline by leveraging supported phone processors. While cloud-based AI models typically offer more power, they come with certain drawbacks. Some users may be reluctant to send personal or sensitive data to remote data centers, or may prefer to access AI features without relying on Wi-Fi or mobile networks. Google has labeled the app as an "Alpha release," and it can be downloaded from GitHub by following the published setup instructions. The app's home screen features a shortcut to Google's Gemma 3n model. A notable feature in the app is the 'Prompt Lab', which allows users to perform simple tasks like summarizing or rephrasing text using templates and customizable settings to fine-tune model behavior. Google warns that performance may vary across devices: newer smartphones with more powerful components will run models faster. However, model size also plays a crucial role—larger models take more time to complete tasks like answering questions about an image compared to smaller ones. Google is inviting the developer community to share feedback on their experience with the Google AI Edge Gallery. The app is released under the Apache 2.0 license, allowing for wide use, including in commercial contexts, without significant restrictions.
Yahoo
a day ago
- Business
- Yahoo
Google quietly released an app that lets you download and run AI models locally
Last week, Google quietly released an app that lets users run a range of openly available AI models from the AI dev platform Hugging Face on their phones. Called Google AI Edge Gallery, the app is available for Android and will soon come to iOS. It allows users to find, download, and run compatible models that generate images, answer questions, write and edit code, and more. The models run offline, without needing an internet connection, tapping into supported phones' processors. AI models running in the cloud are often more powerful than their local counterparts, but they also have their downsides. Some users might be wary of sending personal or sensitive data to a remote data center, or want to have models available without needing to find a Wi-Fi or cellular connection. Google AI Edge Gallery, which Google is calling an "experimental Alpha release," can be downloaded from GitHub by following these instructions. The home screen shows shortcuts to AI tasks and capabilities like "Ask Image" and "AI Chat." Tapping on a capability pulls up a list of models suited for the task, such as Google's Gemma 3n. Google AI Edge Gallery also provides a "Prompt Lab" users can use to kick off "single-turn" tasks powered by models, like summarizing and rewriting text. The Prompt Lab comes with several task templates and configurable settings to fine-tune the models' behaviors. Your mileage may vary in terms of performance, Google warns. Modern devices with more powerful hardware will predictably run models faster, but the model size also matters. Larger models will take more time to complete a task — say, answering a question about an image — than smaller models. Google's inviting members of the developer community to give feedback on the Google AI Edge Gallery experience. The app is under an Apache 2.0 license, meaning it can be used in most contexts — commercial or otherwise — without restriction. 登入存取你的投資組合
Time of India
a day ago
- Time of India
Google lets Android phones run AI models without internet
Different artificial intelligence (AI) models, which can create images, answer questions, or code, can now be run locally on Android smartphones. Last week, Google launched a new app that enables users to run various AI models from the Hugging Face platform directly on their phones, without an internet connection. The app, named Google AI Edge Gallery , is currently available for Android, and an iOS version is expected soon. It searches, downloads, and runs AI models on the phone, using its built-in processor. AI models that run online in the cloud are usually more powerful, but there could be certain drawbacks. For example, users may be uncomfortable sharing personal or sensitive data with remote servers, or they might want to use AI features when they don't have Wi-Fi or cellular data. Google is calling this an 'experimental Alpha release'. The app can be downloaded from GitHub . Google AI Edge Gallery's home screen shows shortcuts to different AI tools like 'Ask Image' and 'AI Chat.' When you tap on one, you'll see a list of models that work for that task, including Google's own Gemma 3n model . Live Events The app also includes a feature called 'Prompt Lab,' where users can try out single-task prompts — like summarising or rewriting text. It includes task templates and settings that let users customise how the models behave. Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories The caveats related to AI operations remain. Google notes that how well the app works depends on the phone. Newer, more powerful phones will run the models faster. Also, larger models take longer to finish tasks, like answering questions about images, compared to smaller models. Google has invited feedback on the app from developers. It has been released under the Apache 2.0 license , which means it is available for public use , and even for commercial purposes.
India Today
2 days ago
- Business
- India Today
GitHub CEO says AI will allow software engineers to reach magic flow state while coding
GitHub CEO Thomas Dohmke says that artificial intelligence will transform how software engineers work – but will not necessarily replace them. He believes that AI will help techies reach a deeper state of creative focus. In a recent interview on YouTube with Azeem Azhar, Dohmke shared that AI-powered tools like GitHub Copilot allow developers to stay in the "magic flow state," where they can focus entirely on solving problems rather than getting bogged down by repetitive explains that in the software engineering world, flow state refers to a mental zone where techies focus on their work free from distractions. 'Flow state, you know, instead of you switching back and forth between research mode and trying to make things,' he shared. And AI, he believes, will help engineers stay in this productive mindset by automating routine also compared software development to a mix of art and production. He shared that historically, engineers spent significant time on the "production" side—writing boilerplate code, debugging, and managing dependencies. AI is now helping to shift this balance by taking over mundane tasks, freeing developers to focus on higher-level problem-solving. "Automation is great because I actually want to spend more time in the creative part—designing what I'm shipping to customers," he explained. According to Dohmke, rather than replacing engineers, AI acts as a collaborator, accelerating development while allowing humans to handle the strategic sees AI as the latest evolution in programming. He highlighted that in the early years, developers used to work in low-level languages like assembly, but over time, higher-level languages (Python, JavaScript) and open-source libraries made coding more efficient. Now, the arrival of AI is taking this further and allowing engineers to describe their intent in natural language, with the system generating functional code."We're already composing different pieces into software, and AI helps us move up the abstraction ladder," he said. However, Dohmke acknowledges that although AI is helpful, human oversight remains crucial—engineers must still review AI-generated code for security, efficiency, and on concerns that AI could replace developers, Dohmke believes that AI will not replace them but rather evolve the role engineers play. He believes that in the coming years, AI will help engineers spend less time on manual coding and more on designing systems, refining AI outputs, and solving complex challenges."Developers define themselves by solving problems and implementing ideas," he said. "AI just changes how they do it."
