LLM | Uzziel Perezhttps://www.uzzielperez.com/tags/llm/LLMHugo Blox Builder (https://hugoblox.com)en-usMon, 06 Jul 2026 09:00:00 +0900https://www.uzzielperez.com/media/icon_hu7729264130191091259.pngLLMhttps://www.uzzielperez.com/tags/llm/Execution-Grounded Agents: Enforcing Physical Constraints in AI Code Generation via Oracle Searchhttps://www.uzzielperez.com/event/icml2026-execution-grounded-agents/Mon, 06 Jul 2026 09:00:00 +0900https://www.uzzielperez.com/event/icml2026-execution-grounded-agents/Future-Ready Restoration: A Case Study on AI RAG-Enhanced Agentic Revival of a Run-2 2016 Λb → Λγ Analysishttps://www.uzzielperez.com/event/chep2026-rag-analysis-revival/Mon, 25 May 2026 09:00:00 +0700https://www.uzzielperez.com/event/chep2026-rag-analysis-revival/rag-ai-scientisthttps://www.uzzielperez.com/project/rag-ai-scientist/Thu, 01 Jan 2026 00:00:00 +0000https://www.uzzielperez.com/project/rag-ai-scientist/<p>Creator and core maintainer of <strong>rag-ai-scientist</strong>, a modular framework for evaluating LLM and agent systems over dense scientific corpora. It implements hybrid semantic search, factual-grounding harnesses, and context chunkers used in the CHEP 2026 <em>Future-Ready Restoration</em> work on reviving a legacy LHCb analysis.</p> <p>Source: <a href="https://github.com/uzzielperez/rag-ai-scientist" target="_blank" rel="noopener">github.com/uzzielperez/rag-ai-scientist</a> · <a href="https://pypi.org/project/rag-ai-scientist/" target="_blank" rel="noopener">PyPI</a></p>