AI Prompt Engineering: Streamlining Automation for Large Language Models

This blog post focuses on the importance of Prompt Engineering in AI models, particularly Large Language Models (LLMs), for reducing manual effort and automating validation processes. It emphasizes the need for automation to handle increasing test data and variable combinations, and discusses the use of the Watsonx.ai Prompt Lab for manual and initial automation processes. The post also highlights the significance of integrating automation with version control for consistency and reproducibility.

Why should I blog about this topic? You can just “google” and find the resources by your own. I write this blog post, because I want to share briefly my experience with you and I hope you can save time, when you get started with IBM Cloud development. This blog post is about following major IBM Cloud information... Continue Reading →

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