Published Feb 28, 2023

Success (and failure) in prompting

Explore the critical role of prompt engineering in AI, as Chris Benson and Daniel Whitenack delve into optimizing model outputs, navigating biases, and uncovering the dynamic evolution of AI technologies, highlighting both the challenges and opportunities.

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Dexa/Practical AI

Success (and failure) in prompting

Topics covered

Popular Clips

AI Model Expectations

Understanding Model Behavior

AI Prompt Engineering

AI Trends Today

Generative Model Behavior

AI Creative Outputs

Navigating AI Challenges

Understanding AI Dialogues

Tech Partnerships

AI Task Description

AI Model Interface

Effective Prompt Engineering

Model Prompting Behavior

Support Changelog

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Prompting Techniques

Generative AI Challenges

AI Evolution Insights

Related Episodes

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Eliminate AI failures

AI's impact on developers

Learning about (Deep) Learning

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Success (and failure) in prompting

Topics covered

Popular Clips

Episode Highlights

Prompting TechniquesPrompt engineering is becoming a pivotal skill in AI, enabling practitioners to guide models effectively without retraining. Daniel Whitenack and Chris Benson explore strategies and advanced methods to optimize AI outputs through well-crafted prompts.

Prompting Techniques

Generative AI Challenges

AI Evolution InsightsDaniel Whitenack and Chris Benson explore the rapid evolution of AI, from its niche beginnings to its current mainstream status. They discuss the challenges and opportunities presented by modern AI technologies, emphasizing the importance of responsible integration.

AI Evolution Insights

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