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Tuesday June 17th 8:930 am PST 🚀 Webinar Overview Join us for 90 minutes instructor-led on-line webinar designed to help you craft more accurate and trustworthy AI outputs. You’ll learn how to apply practical examples and hands-on methodologies—such as Taxonomy Augmented Regeneration (TAG) and Retrieval Augmented Generation (RAG)—to minimize hallucinations and improve model performance. Through a real-world product recommendation case study in streaming media, this session provides actionable insights into how effective prompt engineering drives better decision-making, enhanced customer experiences, and greater operational efficiencies. 🎯 Key Learning Objectives • Master Essential Prompt Engineering Techniques: Identify the core components of a strong prompt and how to structure them effectively. • Explore Advanced Methods: Delve into flipped interaction, chain of thought, tree of thought, and prompt sequencing. • Real-World Applications: See how prompt engineering can transform product recommendations, reduce errors, and deliver tangible business benefits. 👥 Who Should Attend • Business Leaders & Managers aiming to enhance AI-driven decision-making and customer experiences. • Data Scientists, ML Engineers & Tech Enthusiasts seeking practical tools and advanced techniques in harnessing generative AI for more reliable, accurate outcomes. 🎯 Expected Outcomes • Improved Accuracy & Trustworthiness: Reduce hallucinations in LLM interactions, resulting in more reliable AI outputs. • Actionable Skills & Confidence: Gain the techniques and confidence needed to refine prompts for a variety of use cases. • Enhanced ROI on AI Initiatives: Leverage better prompt engineering to optimize operations, and boost customer satisfaction. • Extended Sandbox Access: Continue experimenting and refining your skills for 30 days post-webinar, ensuring you can apply your new knowledge to real projects.
You can also join this program via the mobile app. Go to the app