Learn at a Top Level how easy it can be to get what you want from AI.
Have you always wanted a friendly, fast assistant who simply does what you say? In many cases, AI applications like ChatGPT can offer you exactly that. But it only works with your help. To get beneficial results out of AI, you need to master prompt engineering.
Don’t panic; you don’t need an IT degree for this. Prompt Engineering is about asking the right questions and giving the right commands to generative AI’s like ChatGPT to get the information you need. In principle, this programming language is very close to our normal language.
Before we get into it, we want to make sure you know about Salesforce AI Solutions – By using Agentforce, AI insights are right at your fingertips.
We have complete training modules to help you interact with our AI-based platform, with guidance on how to build prompts, and information on how our AI platform works for various sides of businesses such as Sales, Customer Service, Marketing and Commerce.
What is Prompt Engineering?
Prompt Engineering is the art of tailoring your input to create america phone number list specific, desired responses from AI applications, whether through commands or questions. This empowers people and organizations to harness the full potential of AI technologies, such as Salesforce Agentforce, by refining the way users interact with these systems to achieve greater productivity and superior results.
Key Terms to Understand
NLP (Natural Language Processing): A field of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language in a way that is both meaningful and contextually relevant. Many AI applications use this as their base model, including ChatGPT.
Intent Recognition: This is a fundamental NLP concept. It involves understanding the underlying purpose of a user’s message or query, a cornerstone for effective prompt engineering.
Entities: In NLP, entities are specific pieces of information extracted from user input, like dates or product names.
Dialogue Flow: Dialogue flow in AI/NLP is how a chatbot or AI system talks to you: understanding what you say, replying, and keeping the conversation smooth and on track.
Training Data: High-quality data is used for training NLP models, which enhances your prompt engineering by improving intent recognition and response generation.