Amazon Machine Learning

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Context extraction from image files in Amazon Q Business using LLMs

AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon Q, Amazon Q Business, Artificial Intelligence, Generative AI, Intermediate (200) /

To effectively convey complex information, organizations increasingly rely on visual documentation through diagrams, charts, and technical illustrations. Although text documents are well-integrated into modern knowledge management systems, rich information contained in diagrams, charts, technical schematics, and visual documentation often remains inaccessible to search and AI assistants. This creates significant gaps in organizational knowledge bases, leading […]

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Amazon Bedrock Agents observability using Arize AI

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Artificial Intelligence, Generative AI, Intermediate (200) /

This post is cowritten with John Gilhuly from Arize AI. With Amazon Bedrock Agents, you can build and configure autonomous agents in your application. An agent helps your end-users complete actions based on organization data and user input. Agents orchestrate interactions between foundation models (FMs), data sources, software applications, and user conversations. In addition, agents

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Build an agentic multimodal AI assistant with Amazon Nova and Amazon Bedrock Data Automation

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Data Automation, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Amazon Nova, Artificial Intelligence, Generative AI /

Modern enterprises are rich in data that spans multiple modalities—from text documents and PDFs to presentation slides, images, audio recordings, and more. Imagine asking an AI assistant about your company’s quarterly earnings call: the assistant should not only read the transcript but also “see” the charts in the presentation slides and “hear” the CEO’s remarks.

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Building a custom text-to-SQL agent using Amazon Bedrock and Converse API

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon DynamoDB, Amazon Machine Learning, AWS Lambda, Technical How-to /

Developing robust text-to-SQL capabilities is a critical challenge in the field of natural language processing (NLP) and database management. The complexity of NLP and database management increases in this field, particularly while dealing with complex queries and database structures. In this post, we introduce a straightforward but powerful solution with accompanying code to text-to-SQL using

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How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS

Amazon Machine Learning, Customer Solutions, Generative AI /

This post is co-written with Vicky Andonova and Jonathan Karon from Anomalo. Generative AI has rapidly evolved from a novelty to a powerful driver of innovation. From summarizing complex legal documents to powering advanced chat-based assistants, AI capabilities are expanding at an increasing pace. While large language models (LLMs) continue to push new boundaries, quality

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How Apollo Tyres is unlocking machine insights using agentic AI-powered Manufacturing Reasoner

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Customer Solutions, Generative AI, Manufacturing /

This is a joint post co-authored with Harsh Vardhan, Global Head, Digital Innovation Hub, Apollo Tyres Ltd. Apollo Tyres, headquartered in Gurgaon, India, is a prominent international tire manufacturer with production facilities in India and Europe. The company advertises its products under its two global brands: Apollo and Vredestein, and its products are available in

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Make videos accessible with automated audio descriptions using Amazon Nova

Accessibility, Amazon Bedrock, Amazon Machine Learning, Amazon Nova, Amazon Rekognition, Artificial Intelligence, Technical How-to /

According to the World Health Organization, more than 2.2 billion people globally have vision impairment. For compliance with disability legislation, such as the Americans with Disabilities Act (ADA) in the United States, media in visual formats like television shows or movies are required to provide accessibility to visually impaired people. This often comes in the

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Implement semantic video search using open source large vision models on Amazon SageMaker and Amazon OpenSearch Serverless

Amazon Machine Learning, Amazon OpenSearch Service, Amazon SageMaker, Amazon SageMaker AI, Best Practices, Generative AI, Technical How-to, Video analysis /

As companies and individual users deal with constantly growing amounts of video content, the ability to perform low-effort search to retrieve videos or video segments using natural language becomes increasingly valuable. Semantic video search offers a powerful solution to this problem, so users can search for relevant video content based on textual queries or descriptions.

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Contextual retrieval in Anthropic using Amazon Bedrock Knowledge Bases

Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Foundation models, Generative AI, Intermediate (200) /

For an AI model to perform effectively in specialized domains, it requires access to relevant background knowledge. A customer support chat assistant, for instance, needs detailed information about the business it serves, and a legal analysis tool must draw upon a comprehensive database of past cases. To equip large language models (LLMs) with this knowledge,

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Build a scalable AI assistant to help refugees using AWS

AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon Rekognition, Amazon Translate, Architecture, Artificial Intelligence, Customer Solutions, Generative AI /

This post is co-written with Taras Tsarenko, Vitalil Bozadzhy, and Vladyslav Horbatenko.  As organizations worldwide seek to use AI for social impact, the Danish humanitarian organization Bevar Ukraine has developed a comprehensive virtual generative AI-powered assistant called Victor, aimed at addressing the pressing needs of Ukrainian refugees integrating into Danish society. This post details our

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