Favorite Retrieval Augmented Generation (RAG) enhances AI responses by combining the generative AI model’s capabilities with information from external data sources, rather than relying solely on the model’s built-in knowledge. In this post, we showcase the custom data connector capability in Amazon Bedrock Knowledge Bases that makes it straightforward to
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Shared by AWS Machine Learning April 19, 2025
Favorite AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents provide customers with a streamlined, personalized experience. Amazon Bedrock Agents uses the capabilities of foundation models (FMs), combining them with APIs and data to process user requests, gather information,
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Shared by AWS Machine Learning April 19, 2025
Favorite This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. The Salesforce AI Model Serving team is working to push the boundaries of natural language processing and AI capabilities for enterprise applications. Their
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Shared by AWS Machine Learning April 18, 2025
Favorite Contextual advertising, a strategy that matches ads with relevant digital content, has transformed digital marketing by delivering personalized experiences to viewers. However, implementing this approach for streaming video-on-demand (VOD) content poses significant challenges, particularly in ad placement and relevance. Traditional methods rely heavily on manual content analysis. For example,
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Shared by AWS Machine Learning April 18, 2025
Favorite This post is co-written with Ameet Deshpande and Vatsal Saglani from Qyrus. As businesses embrace accelerated development cycles to stay competitive, maintaining rigorous quality standards can pose a significant challenge. Traditional testing methods, which occur late in the development cycle, often result in delays, increased costs, and compromised quality.
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Shared by AWS Machine Learning April 18, 2025
Favorite For many organizations, vast amounts of enterprise knowledge are scattered across diverse data sources and applications. Organizations across industries seek to use this cross-application enterprise data from within their preferred systems while adhering to their established security and governance standards. This post demonstrates how Zoom users can access their
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Shared by AWS Machine Learning April 18, 2025
Favorite Imagine being able to ask a cell how it’s feeling, what it’s doing or how it might respond to a drug — and receiving an answer back in plain English. Today, in partnersh… View Original Source (blog.google/technology/ai/) Here.
Favorite The world runs on Open Source. From global commerce and finance to AI and critical infrastructure, the software that powers progress is increasingly built in the open. But Open Source in the enterprise isn’t just about technology—it’s about collaboration at scale. That’s why we’re excited to highlight the Certified
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Shared by voicesofopensource April 17, 2025
Favorite Keeping an up-to-date asset inventory with real devices deployed in the field can be a challenging and time-consuming task. Many electricity providers use manufacturer’s labels as key information to link their physical assets within asset inventory systems. Computer vision can be a viable solution to speed up operator inspections
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Shared by AWS Machine Learning April 17, 2025
Favorite Businesses are increasingly seeking domain-adapted and specialized foundation models (FMs) to meet specific needs in areas such as document summarization, industry-specific adaptations, and technical code generation and advisory. The increased usage of generative AI models has offered tailored experiences with minimal technical expertise, and organizations are increasingly using these
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Shared by AWS Machine Learning April 17, 2025
Shared by AWS Machine Learning April 19, 2025
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