CtrlSynth: Controllable Image-Text Synthesis for Data-Efficient Multimodal Learning

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Pretraining robust vision or multimodal foundation models (e.g., CLIP) relies on large-scale datasets that may be noisy, potentially misaligned, and have long-tail distributions. Previous works have shown promising results in augmenting datasets by generating synthetic samples. However, they only support domain-specific ad hoc use cases (e.g., either image or text only, but not both), and …

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

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This post is cowritten with Greg Benson, Aaron Kesler and David Dellsperger from SnapLogic. The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. SnapLogic, a leader in generative integration and automation, has introduced the industry’s first low-code generative AI development platform, Agent Creator, designed to democratize AI …

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Save on GPUs: Smarter autoscaling for your GKE inferencing workloads

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While LLM models deliver immense value for an increasing number of use cases, running LLM inference workloads can be costly. If you’re taking advantage of the latest open models and infrastructure, autoscaling can help you optimize your costs — ensuring you’re meeting customer demand while only paying for the AI accelerators you need. As a …

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Listening skills bring human-like touch to robots

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Researchers give robots a sense of touch by ‘listening’ to vibrations, allowing them to identify materials, understand shapes and recognize objects just like human hands. The ability to interpret the world through acoustic vibrations emanating from an object — like shaking a cup to see how much soda is left or tapping on a desk …

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New tool makes songs unlearnable to generative AI

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Nearly 200 years after Beethoven’s death, a team of musicians and computer scientists created a generative artificial intelligence (AI) that completed his Tenth Symphony so convincingly that music scholars could not differentiate the music originating from the AI or from the composer’s handwritten notes.

Generative AI foundation model training on Amazon SageMaker

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To stay competitive, businesses across industries use foundation models (FMs) to transform their applications. Although FMs offer impressive out-of-the-box capabilities, achieving a true competitive edge often requires deep model customization through pre-training or fine-tuning. However, these approaches demand advanced AI expertise, high performance compute, fast storage access and can be prohibitively expensive for many organizations. …

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Announcing Anthropic’s upgraded Claude 3.5 Sonnet on Vertex AI

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At Google Cloud, we’ve taken an open approach in building our Vertex AI platform — to provide the most powerful AI tools available along with unparalleled choice and flexibility. That’s why Vertex AI delivers access to over 160 models — including first-party, open-source, and third-party models — so you can build solutions specifically tailored to …

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