Question, Refinement and Verification Patterns (12.4)
About this lesson
This video delves into prompt refinement and evaluation techniques for generative AI. It demonstrates how to iteratively improve AI model outputs by adjusting prompt structures and evaluating the results for accuracy and relevance. With hands-on examples, the video shows how to test, compare, and optimize prompts for better performance, ensuring that generative models produce more reliable and effective responses. Code for This Video: https://github.com/jeffheaton/app_generative_ai/blob/main/t81_559_class_12_4_refinement_eval.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook - Coming soon 😸🐙 GitHub - https://github.com/jeffheaton/app_generative_ai ▶️ Play List - https://www.youtube.com/watch?v=FBmUxUt__rM&list=PLjy4p-07OYzui0nVZzMgoLBeXjG9Oy3hi&ab_channel=JeffHeaton ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.heatonresearch.com/ 🐦 Twitter - https://twitter.com/jeffheaton 😸🐙 GitHub - https://github.com/jeffheaton 📸 Instagram - https://www.instagram.com/jeffheatondotcom/ 🦾 Discord: https://discord.gg/3bjthYv ▶️ Subscribe: https://www.youtube.com/c/heatonresearch?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/jeffheaton 🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #GenerativeAI #PromptRefinement #AIevaluation #MachineLearning #LLM #AItools #PromptEngineering
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