Technical How-to

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Building an AI-driven course content generation system using Amazon Bedrock

Advanced (300), Amazon Bedrock, Amazon Machine Learning, Education, Generative AI, Higher education, Public Sector, Technical How-to /

The education sector needs efficient, high-quality course material development that can keep pace with rapidly evolving knowledge domains. Faculty invest days to create content and quizzes for topics to be taught in weeks. Increased faculty engagement in manual content creation creates a time deficit for innovation in teaching, inconsistent course material, and a poor experience […]

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AI judging AI: Scaling unstructured text analysis with Amazon Nova

Amazon Bedrock, Amazon Nova, Artificial Intelligence, Technical How-to /

Picture this: Your team just received 10,000 customer feedback responses. The traditional approach? Weeks of manual analysis. But what if AI could not only analyze this feedback but also validate its own work? Welcome to the world of large language model (LLM) jury systems deployed using Amazon Bedrock. As more organizations embrace generative AI, particularly

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Observing and evaluating AI agentic workflows with Strands Agents SDK and Arize AX

Generative AI, Partner solutions, Technical How-to /

This post is co-written with Rich Young from Arize AI. Agentic AI applications built on agentic workflows differ from traditional workloads in one important way: they’re nondeterministic. That is, they can produce different results with the same input. This is because the large language models (LLMs) they’re based on use probabilities when generating each token.

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Building AIOps with Amazon Q Developer CLI and MCP Server

Advanced (300), Amazon Q Developer, Generative AI, Technical How-to /

IT teams face mounting challenges as they manage increasingly complex infrastructure and applications, often spending countless hours manually identifying operational issues, troubleshooting problems, and performing repetitive maintenance tasks. This operational burden diverts valuable technical resources from innovation and strategic initiatives. Artificial intelligence for IT operations (AIOps) presents a transformative solution, using AI to automate operational

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Structured outputs with Amazon Nova: A guide for builders

AI/ML, Amazon Bedrock, Amazon Nova, Artificial Intelligence, Best Practices, Generative AI, Technical How-to /

Developers building AI applications face a common challenge: converting unstructured data into structured formats. Structured output is critical for machine-to-machine communication use cases, because this enables downstream use cases to more effectively consume and process the generated outputs. Whether it’s extracting information from documents, creating assistants that fetch data from APIs, or developing agents that

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Automate the creation of handout notes using Amazon Bedrock Data Automation

Advanced (300), Amazon Bedrock, Amazon Bedrock Data Automation, AWS Cloud Development Kit, AWS Step Functions, Education, Generative AI, How-To, Serverless, Technical How-to /

Organizations across various sectors face significant challenges when converting meeting recordings or recorded presentations into structured documentation. The process of creating handouts from presentations requires lots of manual effort, such as reviewing recordings to identify slide transitions, transcribing spoken content, capturing and organizing screenshots, synchronizing visual elements with speaker notes, and formatting content. These challenges

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Generate suspicious transaction report drafts for financial compliance using generative AI

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Artificial Intelligence, Generative AI, Technical How-to /

Financial regulations and compliance are constantly changing, and automation of compliance reporting has emerged as a game changer in the financial industry. Amazon Web Services (AWS) generative AI solutions offer a seamless and efficient approach to automate this reporting process. The integration of AWS generative AI into the compliance framework not only enhances efficiency but

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Build a drug discovery research assistant using Strands Agents and Amazon Bedrock

Advanced (300), Amazon Bedrock, Artificial Intelligence, Life Sciences, Technical How-to /

Drug discovery is a complex, time-intensive process that requires researchers to navigate vast amounts of scientific literature, clinical trial data, and molecular databases. Life science customers like Genentech and AstraZeneca are using AI agents and other generative AI tools to increase the speed of scientific discovery. Builders at these organizations are already using the fully

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Build an intelligent eDiscovery solution using Amazon Bedrock Agents

Amazon Bedrock, Amazon Bedrock Agents, Best Practices, Customer Solutions, Generative AI, Technical How-to /

Legal teams spend bulk of their time manually reviewing documents during eDiscovery. This process involves analyzing electronically stored information across emails, contracts, financial records, and collaboration systems for legal proceedings. This manual approach creates significant bottlenecks: attorneys must identify privileged communications, assess legal risks, extract contractual obligations, and maintain regulatory compliance across thousands of documents

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Benchmarking Amazon Nova: A comprehensive analysis through MT-Bench and Arena-Hard-Auto

Advanced (300), AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon Nova, Generative AI, Technical How-to /

Large language models (LLMs) have rapidly evolved, becoming integral to applications ranging from conversational AI to complex reasoning tasks. However, as models grow in size and capability, effectively evaluating their performance has become increasingly challenging. Traditional benchmarking metrics like perplexity and BLEU scores often fail to capture the nuances of real-world interactions, making human-aligned evaluation

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