<![CDATA[Stories by Dr. Leon Eversberg on Medium]]> https://medium.com/@leoneversberg?source=rss-a67b10ad1762------2 https://cdn-images-1.medium.com/fit/c/150/150/1*0v8ZX7K0MEgzuUVpdERRbQ.png Stories by Dr. Leon Eversberg on Medium https://medium.com/@leoneversberg?source=rss-a67b10ad1762------2 Medium Fri, 16 Oct 2026 10:52:59 GMT <![CDATA[How to Build a RAG Evaluation Dataset From Documents]]>

Generate synthetic question-answer pairs from PDFs, validate them with an LLM judge, and create a dataset to evaluate your RAG pipeline

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How table-of-contents-based retrieval can guide LLMs to the right section

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How TypeSafe AI uses parallel sampling and typed outputs to deliver faster, cheaper decisions than standard LLMs

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What research on effort, authenticity, and authorship can teach us about how we perceive generative AI

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Learn when to use asyncio, threads, and processes with a real PDF-to-Markdown pipeline

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Google’s SynthID technology embeds invisible digital watermarks into AI-generated content. It can verify if text, images, videos, or audio…

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Building an AI text detector in Python using Wikipedia’s community-curated signs of AI-generated content

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How to use structured specifications to bring software engineering discipline to agentic AI coding

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