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Next-gen search and RAG with Vertex AI

Generative AI has fundamentally transformed how the world interacts with information, and the search industry is no exception. The search landscape is changing rapidly, driven by the rise of large language models (LLMs). Whether they’re interacting with their company’s internal data or browsing public websites, users now increasingly expect more intelligent, intuitive, and comprehensive search …

The Future of Portrait Photography: Real Faces or AI Creations?

The rise of AI-generated images has created a fascinating paradox in the world of photography and modeling. As AI technology becomes more sophisticated, it’s becoming increasingly difficult to distinguish between photos of real humans and those created by algorithms. This development has sparked a conversation about what the future holds for portrait photography and the …

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How Vidmob is using generative AI to transform its creative data landscape

This post was co-written with Mickey Alon from Vidmob. Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. Specifically, such data analysis can result in predicting trends and public sentiment while also personalizing customer journeys, ultimately leading to more effective …

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Build powerful RAG pipelines with LlamaIndex and Amazon Bedrock

This post was co-written with Jerry Liu from LlamaIndex. Retrieval Augmented Generation (RAG) has emerged as a powerful technique for enhancing the capabilities of large language models (LLMs). By combining the vast knowledge stored in external data sources with the generative power of LLMs, RAG enables you to tackle complex tasks that require both knowledge …

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Deploy Amazon SageMaker pipelines using AWS Controllers for Kubernetes

Kubernetes is a popular orchestration platform for managing containers. Its scalability and load-balancing capabilities make it ideal for handling the variable workloads typical of machine learning (ML) applications. DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be trained and evaluated and, if the …

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Google named a leader in the Forrester Wave: AI/ML Platforms, Q3 2024

Today, we are excited to announce that Google is a Leader in The Forrester Wave™: AI/ML Platforms, Q3 2024, tying for the highest score of all vendors evaluated in the Strategy category. At Google Cloud, we are committed to providing you with a unified platform that supports the entire AI lifecycle – from data preparation …

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Build a generative AI image description application with Anthropic’s Claude 3.5 Sonnet on Amazon Bedrock and AWS CDK

Generating image descriptions is a common requirement for applications across many industries. One common use case is tagging images with descriptive metadata to improve discoverability within an organization’s content repositories. Ecommerce platforms also use automatically generated image descriptions to provide customers with additional product details. Descriptive image captions also improve accessibility for users with visual …

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Don’t Miss Out on ROI of Conversational AI — Your Secret Weapon for Profitability

Don’t Miss Out on ROI of Conversational AI — Your Secret Weapon for Profitability Contact centers are in crisis. Skyrocketing customer expectations were coupled with relentless cost pressures. It all has created a perfect storm. 71% of consumers expect companies to deliver personalized interactions, and 76% of them get frustrated when it doesn’t happen. Agents are overwhelmed: …