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Generative AI: A Self-Study Roadmap

KDnuggets

What started with curiosity about GPT-3 has evolved into a business necessity, with companies across industries racing to integrate text generation, image creation, and code synthesis into their products and workflows. Dynamic Prompt Systems : Production applications rarely use static prompts.

AI
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Mosaic AI Announcements at Data + AI Summit 2025

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! Since then, we’ve had thousands of customers bring AI into production.

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Muvera: Making multi-vector retrieval as fast as single-vector search

Hacker News

Learn more about our Publications Learn more Publications Resources We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem. Lack of efficient sublinear search methods : Single-vector retrieval benefits from highly optimized algorithms (e.g.,

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Leveraging Data Beyond Text: Multimodal AI at Scale

Data Science Connect

Companies like Spotify, Perplexity, and Vinted rely on Vespa to power search, recommendations, and RAG at global scale. Video search use cases—like content licensing and ad analytics—showcase the need for token-level and patch-level retrieval. Why are tensors essential for multimodal search? Why go beyond text in AI systems?

AI
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Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service

Flipboard

Customers today expect to find products quickly and efficiently through intuitive search functionality. A seamless search journey not only enhances the overall user experience, but also directly impacts key business metrics such as conversion rates, average order value, and customer loyalty.

AWS
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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning Blog

In ecommerce, visual search technology revolutionizes how customers find products by enabling them to search for products using images instead of text. Shoppers often have a clear visual idea of what they want but struggle to describe it in words, leading to inefficient and broad text-based search results.

AWS
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Graph RAG vs RAG: Which One Is Truly Smarter for AI Retrieval?

Data Science Dojo

In this comprehensive guide, we’ll explore the technical foundations, architectures, use cases, and best practices of graph rag versus traditional RAG, helping you understand which approach is best for your enterprise AI, research, or product development needs. Generation: The LLM produces a grounded, context-aware response.

AI