Specific pieces of information extracted from user input, like names, dates, and products.
More about Entities:
Entities are valuable pieces of data that chatbots extract from user input to provide more contextually relevant responses. While intents can be thought of as the verb in a user's query, entities can be seen as the noun. For instance, in the query "Book a flight to Paris", "Paris" is an entity representing a destination.
Entities help in refining the chatbot's understanding of user input, ensuring that responses are tailored to the user's specific needs.
Frequently Asked Questions
How are entities used in chatbot conversations?
Entities provide specific details that a chatbot can use to fulfill a user's request. For example, if a user says "I want to order a large pizza", the entity "large" can inform the chatbot about the size of the pizza.
Can one user input have multiple entities?
Yes, a user input can contain multiple entities. For example, in "Book me a flight from New York to Paris on Friday", the entities might be "New York", "Paris", and "Friday".
From the blog
Create an AI version of yourself for your coaching business
Harnessing the power of Artificial Intelligence is no longer reserved for tech giants or sci-fi enthusiasts. As a coach, what if you could scale your expertise, offering guidance at any hour without extending your workday?
Custom model training and fine-tuning for GPT-3.5 Turbo
Today OpenAI announced that businesses and developers can now fine-tune GPT-3.5 Turbo using their own data. Find out how you can create a custom tuned model trained on your own data.