Introduction to Open AI

Overview 

Open AI is one of the most intriguing aspects of machine learning. It is a mathematical model based on the idea of natural language processing or NLP. It is made up of numerous models with diverse abilities to carry out distinct duties. These models’ primary purposes include the generation of systems, code completion, semantic classification, and numerous other tasks. In addition to these, it enables you to polish your code.

Prompts and Completion 

To use this technology of Open AI we enter a piece of the line as an input in the prompt window. The output we get from that matches with the content that we provide as an input to the model. This process of pattern generation to produce an output is commonly known as Completion. The most interesting fact is that the interface it provides to our model is extremely flexible and powerful. 

There is another process known as programming the model that includes providing the input to the model you have created. It is quite different from the Natural Language Processing (NLP) services that are in practice. It allows you to complete a list of tasks virtually like generation of code, making a summary, creative writing, expansion of the content, writing a conversation, and much more. 

Tokens

Another interesting term is tokens. A token is nothing but a word broken into pieces. As our model understands and can process words by breaking them into pieces only it is very important to tokenize the input given to the model. A token can be a word or a chunk of characters. Some examples of tokens are “what”, “hi”, and “hello”.

The number of the token process by any model depends entirely on the input and output given and produced by the model. One important part to keep in mind is that while processing tokens the number of tokens must not exceed the number of words provided as input and output generated by the model. 

Models

Some of the base GPT3 models are Davinci, Curie, Ada, and many more. The descendant of the GPT3 model is the codex series popularly used for code generation.

More Blogs: Top Online Data Science Courses

Reference: Open AI