Shouldn’t there be a way to keep your apps or project data private and improve performance by reducing server latency? This is what on-device AI is designed to solve. It handles AI processing locally, right on your device, without connecting to the internet and sending data to the cloud. In this article, Joas Pambou explains what on-device AI is, why it’s important, the tools to build this type of technology, and how it can change the way we use technology every day.
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We, as human beings, don’t worry too much about making sure the connections land at the right point. Our brain just works that way, declaratively. However, for building AI, we need to be more explicit. Let’s dive in!
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Discover how AI is reshaping web design, boosting productivity in design, coding, UX, and copywriting while amplifying human creativity in a new article by Paul Boag.
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In this third part of the series, you are looking at two models that handle all three modalities — text, images or videos, and audio — without needing a second model for text-to-speech or speech recognition.
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In the second part of this series, Joas Pambou aims to build a more advanced version of the previous application that performs conversational analyses on images or videos, much like a chatbot assistant. This means you can ask and learn more about your input content.
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Joas Pambou built an app that integrates vision language models (VLMs) and text-to-speech (TTS) AI technologies to describe images audibly with speech. This audio description tool can be a big help for people with sight challenges to understand what’s in an image. But how this does it even work? Joas explains how these AI systems work and their potential uses, including how he built the app and ways to further improve it.
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This in-depth guide takes you through the three crucial phases of conversational search, revealing how users express their needs, explore results, and refine their queries. Learn how AI agents can overcome communication barriers, personalize the search experience, and adapt to evolving user intent.
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As Artificial Intelligence evolves the computing paradigm, designers have an opportunity to craft more intuitive user interfaces. Maximillian Piras examines how the latest AI capabilities can reshape the future of human-computer interaction beyond conversation alone.
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Language models have shown impressive capabilities. But that doesn’t mean they’re without faults, as anyone who has witnessed a ChatGPT “hallucination” can attest. In this article, Joas Pambou diagnoses the symptoms that cause hallucinations and explains not only what RAG is but also different approaches for using it to solve language model limitations.
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