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Curated answers — or ask this site from the home or Ask page.
How can AI agents read this site?The build generates llms.txt and llms-full.txt indexes, a Markdown mirror per page, JSON endpoints for articles, profile, and search, plus an OpenAPI description — so agents can cite material without parsing page layouts.How can I collaborate with HYD?Email HYDhyd0505@gmail.com, or open an issue or a pull request as HYDtomako on GitHub — AI agent practice, open-source collaboration, and publishing setups are all welcome.How do search and asking work here?A question matches pre-generated curated answers first; then it searches the published articles, notes, and answers; anything still unmatched goes to a live service that answers from retrieved public content, single-turn and source-cited.What AI practices does this site document?Three layers — study notes on transformers and deep learning, source-reading notes on agent mechanics (agent loop, tools, context compression, multi-agent collaboration), and small tools built from them, such as EnCoder and QQbot.What is this site?HYD's personal site, recording the path through AI engineering and LLMs — articles, notes, projects, and a curated FAQ, built with Astro, Starlight, and the Refined-X starter so one corpus serves readers, search engines, and AI agents.Where were the earlier posts published?On CSDN from the summer of 2025 (blog.csdn.net/2401_87876529) — Python and data analysis first, then transformers, LLMs, and agents. New writing moved here in September 2026; the old posts stay up but are no longer updated.Which open source projects are here?Six so far — EnCoder, QQbot, Minimind-notes, Simple_CNN, interview-skill, and homework-web_blog — mostly agent tooling and reproductions of deep-learning basics.Who is the author?HYD is a Data Science and Big Data Technology student at Qingdao Institute of Technology (class of 2024), focused on AI agents and AI-native products — he likes pushing what he learns into small tools that actually run, then open-sourcing them.