appliedAI Initiative GmbH’s Post

📆[Upcoming webinar] How can companies harness Generative AI to manage growing data, rapidly evolving knowledge, and make sharper, more informed, and timely decisions? Enter Retrieval-Augmented Generation (RAG)—a cutting-edge solution that merges generative AI with enterprise knowledge retrieval and analytics. RAG equips teams with instant access to reliable, domain-specific, expert-level insights. Why Agentic RAG? By embedding reasoning and agent capabilities into RAG solutions, businesses can achieve even greater accuracy, flexibility, and reliability. These advanced systems actively evaluate content for logic, quality, and consistency, while adapting autonomously to user needs and taking informed actions. What’s in it for you? ✅ An overview of RAG techniques and their latest updates ✅ Demonstration of a real-world, trustworthy RAG system ✅ Industrial-grade RAG best practices ✅ The future trend of RAG and its combination with Generative AI agents Further details: 🚀 Title: GenAI in Action: From RAG to Agent-Based Systems 🎙️Hear from: Milos Rusic (deepset) and Dr. Paul Yu-Chun Chang (appliedAI Initiative GmbH) as they share insights on RAG solutions and its natural next step, Agent-Based Systems. 🗓️ Date: 15th of January 2024 ⌚️Time: 3:00pm (1 hour) 📍Place: online. Save your spot here: https://lnkd.in/dsTAF2Kp Explore the potential of Agentic RAG to elevate your decision-making and operational efficiency! We look forward to welcoming you on the 15th of January!

  • Overview of the dates and content of the webinar with appliedAI and deepset.

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