🇺🇸GenAI Master Class: From Prototypes To Production Series – Pt 1. Prompts, RAG, Agents & Evaluations
Créé le 04/11/2024 · Dernière modification le 03/11/2024Description
​Every company sees the potential of GenAI, but most teams hit a wall when turning it into scalable, production-ready applications. This series of master classes will equip you with the practical skills to build and deploy GenAI solutions that deliver real impact.
Schedule
​Nov 4: Part 1: Foundations of Prompting, RAG systems, Agents and Evaluations
​Nov 18: Part 2: Scale and Productionize AI Systems
​Dec 16: Part 3: Build and deploy a GenAI app end-to-end
​In this immersive program, you’ll:
​Build a GenAI app in class: Get hands-on experience designing and implementing a working GenAI solution from start to finish.
​Master RAG: Learn how to integrate retrieval with generation to build AI systems that dynamically pull from vast knowledge bases, delivering more accurate, contextually relevant, and up-to-date responses. In this section, you'll explore retrieval strategies, optimize how your models fetch and generate data, and fine-tune the balance between retrieval and generation for maximum performance in real-world applications.
​Build intelligent agents: Develop autonomous systems that don’t just generate outputs but actively make decisions, adapt to changing data, and perform tasks in real-time. These agents can automate complex workflows, handle unpredictable environments, and continuously learn, allowing you to build smarter, more responsive applications that drive efficiency and innovation in your business.
​Scale and Productionize AI Systems: Master techniques for building scalable, secure, and robust AI systems. Covering topics like red teaming, hallucination prevention, guardrails, evaluations, performance tuning, and data pipelines at scale.
​Who Should Attend:
​Technical Teams: Deep dive into GenAI architectures, RAG, and the latest AI frameworks.
​Technical Executives: Learn to identify high-impact GenAI use cases and build a roadmap for integrating AI to drive innovation.
Lieu
400 Alabama St
San Francisco, CA 94110, USA
