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Prompt Engineering for LLMs: Best Practices and Examples for Technical PMs

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Natalie L.
Prompt Engineering for LLMs: Best Practices and Examples for Technical PMs

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Attention Product Managers/Owners, this dynamic session is for you!

Explore the essential practice of prompt engineering for large language models (LLMs), focusing on how well-structured prompts can unlock more accurate and relevant AI outputs.

Delve into key principles like clarity, context, constraints, and conciseness in prompt creation while reviewing advanced techniques such as prompt chaining and retrieval-augmented generation (RAG) to handle complex queries.

Attendees will learn how to design and refine prompts to effectively leverage the power of LLMs for more thoughtful and tailored AI responses.

About the speaker:

David Wertheimer is a VP of Engineering with deep expertise in AI/ML. He leads high-performing teams and drives business growth through strategic innovation. With a background in Agile transformations and cloud optimization, David excels at aligning technology with business goals and empowering teams to deliver impactful results.
As a consultant, he specializes in AI strategy and prompt engineering, developing tools to accelerate innovation.

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