{"@attributes":{"version":"2.0"},"channel":{"title":"Rag on Oriol Al\u00e0s Cerc\u00f3s","link":"https:\/\/oriolac.github.io\/tags\/rag\/","description":"Recent content in Rag on Oriol Al\u00e0s Cerc\u00f3s","generator":"Hugo -- 0.150.0","language":"en-us","copyright":"Oriol Al\u00e0s Cerc\u00f3s","lastBuildDate":"Mon, 02 Feb 2026 00:00:00 +0000","item":[{"title":"InnWater \u2013 Water Tariff Dashboard","link":"https:\/\/oriolac.github.io\/projects\/innwater-tariff\/","pubDate":"Mon, 02 Feb 2026 00:00:00 +0000","guid":"https:\/\/oriolac.github.io\/projects\/innwater-tariff\/","description":"AI-augmented economic simulation platform for sustainable and equitable water tariff design within the WEFE nexus."},{"title":"InnWater \u2013 AI-Augmented Water Governance Platform","link":"https:\/\/oriolac.github.io\/projects\/innwater-wg\/","pubDate":"Wed, 01 Oct 2025 00:00:00 +0000","guid":"https:\/\/oriolac.github.io\/projects\/innwater-wg\/","description":"AI-powered decision-support system for water governance assessment and policy optimization within the WEFE nexus."},{"title":"IA Generativa: LLMs vs SLMs","link":"https:\/\/oriolac.github.io\/talks\/ai-big-data-congress\/","pubDate":"Tue, 01 Oct 2024 00:00:00 +0000","guid":"https:\/\/oriolac.github.io\/talks\/ai-big-data-congress\/","description":"<h2 id=\"overview\">Overview<\/h2>\n<p>Comparative analysis of Large Language Models (LLMs) and Small Language Models (SLMs) in the context of generative AI.\nExplanation of different capabilities to customize and fine-tune models and limitations of deployment.<\/p>\n<h2 id=\"key-topics\">Key Topics<\/h2>\n<ul>\n<li>Architecture differences between LLMs and SLMs<\/li>\n<li>Capabilities for customization and fine-tuning<\/li>\n<li>Deployment considerations and resource requirements<\/li>\n<li>Real-world applications and use case selection<\/li>\n<\/ul>\n<h2 id=\"event\">Event<\/h2>\n<p>The AI &amp; Big Data Congress is one of Spain&rsquo;s conferences on artificial intelligence and data science, bringing\ntogether researchers, practitioners, and industry leaders.<\/p>"},{"title":"Generative AI: Retrieval Augmented Generation (RAG) systems","link":"https:\/\/oriolac.github.io\/talks\/cidai-masterclass-rag\/","pubDate":"Thu, 01 Feb 2024 00:00:00 +0000","guid":"https:\/\/oriolac.github.io\/talks\/cidai-masterclass-rag\/","description":"<h2 id=\"overview\">Overview<\/h2>\n<p>Comprehensive masterclass on Retrieval Augmented Generation (RAG) systems, covering the fundamentals of combining retrieval mechanisms with large language models to improve accuracy and reduce hallucinations.<\/p>\n<h2 id=\"key-topics\">Key Topics<\/h2>\n<ul>\n<li>RAG architecture and design patterns<\/li>\n<li>Embedding models and vector databases<\/li>\n<li>Chunking strategies and retrieval optimization<\/li>\n<li>Evaluation metrics and best practices<\/li>\n<li>Hands-on implementation examples<\/li>\n<\/ul>\n<h2 id=\"event\">Event<\/h2>\n<p>CIDAI (Centre d&rsquo;Innovaci\u00f3 Digital i Artificial Intelligence) masterclass series focused on advanced AI techniques for professionals and researchers.<\/p>"}]}}