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The Prompt Lab in Watsonx.ai contains numerous methods of training and fine-tuning foundational models to align them with your business needs. Several of these methods are simple techniques that, when implemented, provide an immediate impact to the model response. When several of these techniques are used in concert, users can create robust prompts that are tuned for their business context in a matter of minutes, with no prior expertise required. This collection is broken into a series of short videos that each provide an intro into one of these techniques, perfect for sellers/IBMers looking to get started with the prompt lab, or for customers to get a quick bite-size look at the power of Watsonx.ai
Introduction to decoding methods and parameters for prompt. Learn the basics of how to modify these parameters to tune the model toward your desired outcome00:04:49
This video provides an introduction into using one or multi-shot prompting to train a model on the desired result of your prompts00:03:45
Impact the output of your models by making small but significant changes to your prompt instructions00:03:29
IBM provides a large and still-growing list of foundation models in watsonx.ai for the accomplishment of a wind range of tasks and processes. This video provides an introduction into the selection of the right foundation model to align with your specific use case00:03:10