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.
Watson NLP for Embed customize a classification model and use it on your local machine
This blog post is about, how to customize a classification model for Watson NLP for Embed and use it on your local machine.
JVMJ9VM015W Initialization error for library j9gc29(2): Failed to instantiate compressed references metadata. 200M requested when using jupyter notebook
This blog post is about how to solve a problem when you try to execute a Jupyter Notebook on a macOS.
