Knowledge and Prompt Engineering
Part 2: Focus on Prompt Design Approaches
June 19, 2024 @ 1:00 PM ET | 10:00 AM PT
In our last session on knowledge and prompt engineering, we focused more on the knowledge design side. In this follow-up session, we will explore prompt approaches and practices more deeply.
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Did you miss Part 1 of this series?
Catch up with the recording and slides at Advancing AI in the Enterprise: Strategic Integration of Knowledge Engineering and Prompt Engineering.
Topics We'll Cover
Structured Prompting
Learn how to structure prompts based on use cases, scenarios, and the RACE framework (Role, Action, Context, and Examples).
Aligning with Knowledge Engineering
Explore how the prompt design framework needs to align with and take signals from the knowledge engineering framework.
Customizing the Framework
Learn about the situational factors that affect the prompt framework:
- Capability – Are you interacting with a chatbot or an assistant?
- Model – Which LLM are you working with: OpenAI's GPT, Mixtral, Llama2, or another?
- Use case – Do you need translation, generation, or a Q&A system?
- Mode – Are you working with text, vision, or voice?
- Action – Function calling or fine-tuning?
Optimizing Prompts
Find techniques to help you write your best prompts to achieve the best responses from an LLM:
- Work through problems step-by-step using Tree of Thought (ToT), chain of thought, or iterative prompting techniques
- Inject emotion to prompt emotionally engaging language
- Include corporate brand guidelines, terminology, and data sources; user signals from prior interactions; and industry-specific data to improve LLM performance
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Meet The Speaker
Seth Earley
An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions.
Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.
Meet The Speaker
Sanjay Mehta
Sanjay has over two decades of hands-on experience with hundreds of customers for search/analytics, ml/ai, and commerce. He has held a number of strategic roles with renowned vendors such as Lucidworks, Reflektion, Oracle, NetSuite, Endeca, and ATG. His focus is on incorporating enterprise information architecture with ML/AI to deliver practical user experiences that generate tangible value.
Meet The Speaker
Nick Usborne
Nick is a pioneer in the craft of digital copywriting with over four decades of industry experience. He teaches writers to combine the power of Artificial Intelligence (AI) with the human touch of Emotional Intelligence.
Nick’s influence is worldwide with his online courses reaching thousands of students in over 97 countries. He is an award-winning expert with major clients including Citibank, Apple, and New York Times.