Leveraging Ruby for Effective Prompt Engineering and AI Solutions - RUBY 643

 They dive deep into the world of advanced development techniques and tools. In today's episode, Valentino and Scott explore the challenges and breakthroughs in the realm of AI and code generation with a particular focus on Ruby.Valentino vents about the complexities of prompt engineering, while Scott shares insights on prompt design, function calling for structured output, and the importance of breaking down code for reliability and testing. They highlight the declining effectiveness of prompt tricks and the growing significance of using large language models over fine-tuning.The conversation delves into the unique advantages of Ruby for rapid prototyping, with Scott Werner, CEO and founder of Sublayer, shedding light on his self-assembling AI agent framework built in Ruby. He explains how their prompt architecture fosters easy expansion and customization.Listeners will also hear about Scott's experiences with ramping up on new teams, operationalizing experience, and designing classes and interfaces to align with desired coding styles. The episode concludes with discussions on experimenting with AI tools, the value of community events like the Ruby AI Builders Discord and meetups, and the insights gained from fine-tuning language models.Get ready to explore the cutting-edge of AI in development and the potential of Ruby in creating powerful, automated solutions. Tune in and join the conversation!SocialsLinkedIn: Scott Wernerscottwernerd.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/ruby-rogues--6102073/support.

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