Prompt Builder versus predictive AI
Key Takeaway
Use Prompt Builder when the business wants generated content, and use a predictive model when it wants a prediction of a business outcome. When users need a prediction explained in plain language, ground a prompt template with the prediction.
Prompt Builder and predictive AI solve different problems. Prompt Builder creates and manages prompt templates that send your CRM data to a large language model (LLM), so the LLM can generate content such as emails, summaries, or descriptions. Predictive AI uses machine learning models trained on your historical data to predict business outcomes and suggest ways to improve them. The two can work together when a prediction needs to be explained in plain language.
Predictive models and generative models
Predictive models and generative models are both AI models, but they are built for different purposes. A predictive model is trained by machine learning on historical data to make predictions or decisions from input data. A generative model creates content from the input data in prompt instructions. Prompt Builder is the generative side, and predictive AI uses predictive models.