Introduction

The BOMML AI API can be applied to a wide range of use cases. It is a general purpose API that can be used to solve a variety of problems. The API is designed to be simple and easy to use. It is also designed to be flexible and powerful. The API is designed to be used by developers, data scientists, and business users. It is designed to be used by people who are familiar with machine learning and deep learning. It is also designed to be used by people who are not familiar with machine learning and deep learning.

Resources

• Experiment in the Playground
• Read the API reference

Key concepts

Models

BOMML's AI models have been trained to understand natural language and to generate text. They can be used to generate text in a variety of languages, including English, French, German, Spanish, Italian, Portuguese, Russian, Chinese, Japanese, Korean, and Arabic. The AI models respond to an input text and generate a text response, often referred to as "prompts".

Embeddings

Embeddings are a way of representing words as vectors. They are used in natural language processing to represent words in a way that is easier for computers to understand. Embeddings are often used in machine learning models to represent words in a way that is easier for computers to understand.

Tokens

Tokens are a way of representing words as vectors. They are used in natural language processing to represent words in a way that is easier for computers to understand.