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Vibe Coding, Vibe Checking, and Vibe Blogging

O'Reilly Media - Ideas

Simon Willison describes it perfectly : When I talk about vibe coding I mean building software with an LLM without reviewing the code it writes.” In my early days of using AI coding assistants, I was that person who meticulously reviewed every single line, often rewriting significant portions.

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Using responsible AI principles with Amazon Bedrock Batch Inference

AWS Machine Learning - AI

Refer to Supported Regions and models for batch inference for a complete list of supported models. Set up a batch inference job For detailed instructions on how to set up and run a batch inference job using Amazon Bedrock, refer to Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock.

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How to Conduct User Acceptance Testing: Process Stages, Deliverables, and End-User Testing Place in Quality Assurance

Altexsoft

When conducting various quality assurance activities , development teams are able to look at the product from the user’s standpoint. What is user acceptance testing and how is it different from quality assurance? This technique assumes testers aren’t able to look at how the system works so they can test it unbiased.

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Stay-at-home Sales Propels Turkish Bathroom Pioneer into a Digital Transformation

CIO

Employees were forced to use more than two systems to retrieve data. Our system was really old,” recalled Gamze ?enkal Internally, the venture would be referred to as “more than just another digital transformation.” “It For two decades, the bathroom group had been reliant on SAP’s on-premise ERP Central Component (ECC) system.

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Top 6 Annotation Tools for HITL LLMs Evaluation and Domain-Specific AI Model Training

John Snow Labs

For an LLM, these labeled segments serve as the reference points from which it learns whats important and how to reason about it. While AI-assisted labeling has reduced some of the manual workload, modern annotation still demands: In-context validation of generative outputs , including structured reviews and scoring.

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Generate synthetic data for evaluating RAG systems using Amazon Bedrock

AWS Machine Learning - AI

Evaluating your Retrieval Augmented Generation (RAG) system to make sure it fulfils your business requirements is paramount before deploying it to production environments. However, this requires acquiring a high-quality dataset of real-world question-answer pairs, which can be a daunting task, especially in the early stages of development.

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning - AI

Legal teams accelerate contract analysis and compliance reviews , and in oil and gas , IDP enhances safety reporting. Each file might require custom handling because of varying formats and qualities. Manufacturers and retailers optimize supply chain and invoice processing , helping to ensure seamless operations.

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