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How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

AWS Machine Learning Blog

The core work of developing a news story revolves around researching, writing, and editing the article. However, when the article is complete, supporting information and metadata must be defined, such as an article summary, categories, tags, and related articles. Bertrand d’Aure is a software developer at 20 Minutes.

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Driving quality assurance through the IBM Ignite Quality Platform

IBM Journey to AI blog

Quality Assurance (QA) is a critical component of the software development lifecycle, aiming to ensure that software products meet specified quality standards before release. QA encompasses a systematic and strategic approach to identifying, preventing and resolving issues throughout the development process.

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Introducing automatic training for solutions in Amazon Personalize

AWS Machine Learning Blog

Optionally, add any tags. For more information about tagging Amazon Personalize resources, see Tagging Amazon Personalize resources. Ajay Venkatakrishnan is a Software Development Engineer on the Amazon Personalize team. Pranesh Anubhav is a Senior Software Engineer for Amazon Personalize.

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A Critical Look at AI-Generated Software

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Meanwhile, the ongoing AI revolution promises to revamp software development, making it far easier for people to program, debug, and maintain code. Alas, none of these methods has proven absolutely effective, and in any case they are not used consistently. So problems continue to mount. ChatGPT appears authoritative.

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ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry.

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Accelerate release lifecycle with pathway to deploy: Part 1

IBM Journey to AI blog

The second post in this series provides a maturity model and building blocks to help enterprises accelerate their software supply chain lifecycle in the ever-evolving landscape of enterprise cloud-native software development. Service transition reviews to support IT service and incident management and resolution.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

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This emergent ability in LLMs has compelled software developers to use LLMs as an automation and UX enhancement tool that transforms natural language to a domain-specific language (DSL): system instructions, API requests, code artifacts, and more. In the following improved prompt, notice the addition of examples enclosed in XML tags.

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