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Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use

AWS Machine Learning Blog

While textual chat interactions with GenAI remain popular, real-world applications often depend on structured data for APIs, databases, data-driven workloads, and rich user interfaces. As a result, LLMs can struggle with precision when generating JSON outputs, which is crucial for seamless integration into existing APIs and databases.

AWS 81
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Claude Wrote the Code for Cloudflare, Developer Reveals Prompts

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Book here Ankush Das I am a tech aficionado and a computer science graduate with a keen interest in AI, Coding, Open Source, and Cloud. While concerns remain about generative AI’s reliability, the OAuth project demonstrates how structured workflows and expert review can transform LLM usage. 📣 Want to advertise in AIM?

AWS 72
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How MSD uses Amazon Bedrock to translate natural language into SQL for complex healthcare databases

AWS Machine Learning Blog

Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.

SQL 101
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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

Michelle Yi, Co-Founder of Generationship Michelle Yi is a technology leader who specializes in machine learning and cloud computing. She’s the co-author of O’Reilly books on Graph Algorithms and Knowledge Graphs as well as a contributor to the Routledge book, Massive Graph Analytics , and the Bloomsbury book, AI on Trial.

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How Fastweb fine-tuned the Mistral model using Amazon SageMaker HyperPod as a first step to build an Italian large language model

AWS Machine Learning Blog

High-quality Italian web articles, books, and other texts served as the basis for training the LLMs to generate authentic-sounding synthetic content that captured the nuances of the language. He has worked on projects in different domains, including MLOps, computer vision, and NLP, involving a broad set of AWS services.

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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

Michelle Yi, Co-Founder of Generationship Michelle Yi is a technology leader who specializes in machine learning and cloud computing. She’s the co-author of O’Reilly books on Graph Algorithms and Knowledge Graphs as well as a contributor to the Routledge book, Massive Graph Analytics , and the Bloomsbury book, AI on Trial.

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Top Technical Skills You Must Have as a Developer in 2025

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SQL and MongoDB SQL remains critical for structured data management, while MongoDB caters to NoSQL database needs, which is essential for modern and flexible data applications. Cloud Computing: Platforms: Amazon Web Services (AWS), Azure, Google Cloud Skills: Docker, Kubernetes, and basic DevOps tools must be learnt to enhance employability.

Python 52