321: The Value Of Asking The Right Question The Right Way
About this episode
Exploring the effective use of AI tools like large language models (LLMs) in automotive diagnostics, this episode emphasizes the importance of asking precise questions and providing detailed context to get accurate and useful responses. The host shares real-world examples, including identifying EEPROM chips in GM radios, and highlights the need for expert knowledge to discern AI outputs. The discussion covers prompt engineering, integrating proprietary data for better results, and using AI for learning and ASE test preparation. The episode balances AI's potential with its limitations, encouraging thoughtful and informed use in automotive repair.
This week on the show I expand on the topic of utilizing LLM's and AI within automotive diagnostics after conversations with people based on last weeks episode. I talk about the value of prompting (asking the right question the right way) and also how being an expert in a particular topic makes the utility of these tools significantly better.
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Cadillac Escalade
"... other day that was a radio out of an 07 Cadillac Escalade and TLC wouldn't do the VIN rewrite."
Tesla By Model
"...gramming. And we were broken down by manufacture, by model line, by year, by type of problem, by type of mod..."
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