An API, or Application Programming Interface, in the realm of AI serves as a bridge between software applications. It specifies a standardized way for different software systems to interact and exchange data, allowing developers to incorporate advanced AI functionality, such as image and speech recognition, natural language processing, and decision-making capabilities, into their own applications. Essentially, APIs provide a gateway to harness the power of AI technology. The most well known artificial intelligence APIs are Google Cloud AI Platform, Amazon Rekognition, Microsoft Azure Cognitive Services, and Clarifai.
Some common use cases of AI APIs include:
- Image recognition in apps, such as automatically tagging and organizing photos in a user's gallery.
- Voice assistants in smart devices, such as Amazon Alexa or Google Home, using speech recognition APIs to interpret user commands.
- Customer service chatbots, using NLP APIs to understand and respond to customer inquiries in natural language.
- Fraud detection in financial services, using machine learning APIs to analyze transaction data and flag suspicious activity.
Embedding in AI is the representation of data in a lower-dimensional space to preserve the relationships between the data points.
Chatbot is a conversational application you may often see on all kinds of websites as a chat window, usually in the bottom right of the screen.
A pre-trained model is a ready-made machine learning model that has been previously trained on a substantial dataset.