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www.s-anand.net
| | blog.adnansiddiqi.me

Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
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| | blog.pdebruin.org

RAG Hack hackathon recordings and presentations cover Langchain, vector stores, and multi-language RAG patterns.
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| | passo.uno

If you've been following the AI space for a while, the MCP acronym might be a familiar sight: it's an open standard for connecting large language models (LLMs) to tools and data. Without the ability to use tools and get data, AI agents are powerless, their knowledge limited to their training set and the context at hand. Giving in to my curiosity, I created an MCP server to demystify this piece of tech and gain a better understanding of its potential. Not all is rosy, but if there's a place where doc tools need to grow, it's this.
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| | passo.uno

Some technical writers in my network are genuinely worried about their professional future in the AI age. Will large language models take my job, they wonder. Are we going to be replaced by GPT, they ask in meetups and community forums. My short answer is "No". My longer answer is "No, unless you reject the benefits of LLMs". For my complete answer, keep reading this post.
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