Category: AI Category
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Google AI Studio has gotten a big vibe coding upgrade with a new interface, buttons, suggestions and community features that allow anyone with an idea for an app — even complete novices, laypeople, or non-developers like yours truly — to bring it into existence and deploy it live, on the web, for anyone to use,…
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Presented by HP Creativity is quickly becoming the new measure of productivity. While AI is often framed as a tool for efficiency and automation, new research from MIT Sloan School of Management shows that generative AI enhances human creativity — when employees have the right tools and skills to use it effectively. That’s where AI…
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Presented by Apptio, an IBM company When a technology with revolutionary potential comes on the scene, it’s easy for companies to let enthusiasm outpace fiscal discipline. Bean counting can seem short-sighted in the face of exciting opportunities for business transformation and competitive dominance. But money is always an object. And when the tech is AI,…
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Vibe coding is evolving and with it are the leading AI-powered coding services and tools, including Anthropic’s Claude Code. As of today, the service will be available via the web and, in preview, on the Claude iOS app, giving developers access to additional asynchronous capabilities. Previously, it was available through the terminal on developers' PCs…
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Hoping to attract more enterprise teams to its ecosystem, Adobe launched a new model customization service called Adobe AI Foundry, which would create bespoke versions of its flagship AI model, Firefly. Adobe AI Foundry will work with enterprise customers to rearchitect and retrain Firefly models specific to the client. AI Foundry version models are different…
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Arm has announced that it’s providing its most powerful edge AI platform, Armv9, to startups via its Flexible Access programme. The “Flexible Access” model is essentially a ‘try before you buy’ for chip designers. It gives companies upfront, low-cost, or no-cost (for qualifying startups) access to a wide range of Arm technology, tools, and resources.…
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You’ve likely used ChatGPT, Gemini, or Grok, which demonstrate how large language models can exhibit human-like intelligence. While creating a clone of these large language models at home is unrealistic and unnecessary, understanding how they work helps demystify their capabilities and recognize their limitations. All these modern large language models are decoder-only transformers. Surprisingly, their…
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7 Pandas Tricks to Handle Large DatasetsImage by Editor Introduction Large dataset handling in Python is not exempt from challenges like memory constraints and slow processing workflows. Thankfully, the versatile and surprisingly capable Pandas library provides specific tools and techniques for dealing with large — and often complex and challenging in nature — datasets, including…
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In this article, you will learn how vector databases power fast, scalable similarity search for modern machine learning applications and when to use them effectively. Topics we will cover include: Why conventional database indexing breaks down for high-dimensional embeddings. The core ANN index families (HNSW, IVF, PQ) and their trade-offs. Production concerns: recall vs. latency…
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Revolutionizing MLOps: Enhanced BigQuery ML UI for Seamless Model Creation and Management – MachineLearningMastery.com Revolutionizing MLOps: Enhanced BigQuery ML UI for Seamless Model Creation and Management – MachineLearningMastery.com Source link