In this follow-up session on knowledge and prompt engineering, we will explore structured prompting, chain of thought prompting, iterative prompting, prompt optimization, emotional language prompts, and the inclusion of user signals and industry-specific data to enhance LLM performance.
Join EIS Founder & CEO Seth Earley and special guest Nick Usborne, Copywriter, Trainer, and Speaker, as they delve into these methodologies to improve AI-driven knowledge processes for employees and customers alike.
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Knowledge and Prompt Engineering Part 2 Focus on Prompt Design Approaches
1. www.earley.com
WEBINAR
WEBINAR
The Key to Context:
Prompt and Knowledge Engineering - Part 2
Focus on Prompts
SETH EARLEY
CEO & FOUNDER
EARLEY INFORMATION SCIENCE
Media Sponsor
NICK USBORNE
FOUNDER & TRAINER
BE MORE HUMAN
SANJAY MEHTA
PRINCIPAL SOLUTION ARCHITECT
EARLEY INFORMATION SCIENCE
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Today’s Speakers
Seth@earley.com
https://www.linkedin.com/in/sethearley/
2
Nick Usborne
Founder & Trainer
Be More Human
nick@bemorehuman.ai
https://www.linkedin.com/in/
nickusborne/
Seth Earley
Founder & CEO
Earley Information Science
Sanjay Mehta
Principal Solution Architect
Earley Information Science
Sanjay.mehta@earley.com
https://www.linkedin.com/in/sanjaymehta/
“I do not know of any books that have such
useful and detailed advice on the relationship
between data and successful conversational AI
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Only Humans Need Apply and The AI Advantage
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50+
SPECIALISTS & GROWING.
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It’s all about context
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• Context windows are growing but there are limitations –
adding content by way of example output or adding IP
needs to be done in a secure way
• Related data sources will further contextualize the
vector space
• Adding user context as buyer avatar, brand avatar and
other user signals and characteristics including voice of
end customer and emotion will improve results
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Structured prompting
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Design prompts based on use cases, scenarios and the RACE
framework…
Role -You are an expert on the topic of on-farm dairy equipment
Action - Write a series of informational emails for prospects
Context - Here is background information on our dairy equipment
Examples - Follow the structure, style and voice of these previous,
successful informational emails
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• BRAND GUIDELINES
• CORPORATE TERMINOLOGY
• USER SIGNALS
• CORPORATE DATA SOURCES
• INDUSTRY SPECIFIC DATA
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Corporate Standards and User
Signals
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Getting Started /Next Steps
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• Identify a business problem that is important to the organization
• Ensure adequate funding and executive support
• Define scenarios and use cases
• Identify content and data needed to support use cases
• Gather baseline metrics for supported processes
• Build domain model and metadata structures for target use cases
• Ingest tagged content into vector store as enriched embeddings
• Test against use cases with gold standard of responses
• Measure against baselines to show improvement
• Shampoo, Rinse, Repeat
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Contact
Seth@earley.com
https://www.linkedin.com/in/sethearley/
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Seth Earley
Founder & CEO
Earley Information Science
Dave Skrobela
Client Partner
Managing Director
Earley Information Science
dave.skrobela@earley.com
Sanjay Mehta
Principal Solution Architect
Earley Information Science
Sanjay.mehta@earley.com
https://www.linkedin.com/in/sanjaymehta/
www.linkedin.com/in/skrobela/
Nick Usborne
Founder & Trainer
Be More Human
nick@bemorehuman.ai
https://www.linkedin.com/in/
nickusborne/
Check out https://bemorehuman.ai/
for training courses
32. www.earley.com
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We Make Information More Useable, Findable, And Valuable
Earley Information Science is a professional services firm headquartered in Boston and founded in 1994. With over
50+ specialists and growing, Earley focuses on architecting and organizing data – making it more findable, usable,
and valuable.
Our proven methodologies are designed to address product data, content assets, customer data, and corporate
knowledge bases. We deliver scalable solutions to the world’s leading brands, driving measurable business results.