Machine Learning based APIs using Nest.js

chatGPT is generic enough to make almost unlimited the possibilities when you use its API for building your own API; your imagination may be the limit. With its API, you can have access to several versions from chatGPT, which includes GPT-4; they are also always launching new versions and features. You can change the GPT version with just one line of code, and test different versions for your app, pondering cost vs. effectiveness. Their interface is simple: “text in text out”, even for new versions of the API. Therefore, whenever they have a new release, you can easily test their new versions.

An application programming interface (API) is a way for two or more computer programs to communicate with each other. It is a type of software interface, offering a service to other pieces of software. A document or standard that describes how to build or use such a connection or interface is called an API specification.

On this course, we are going to use Nest.js as base for building an API, based on ChatGPT.

ChatGPT, which stands for Chat Generative Pre-trained Transformer, is a large language model-based chatbot developed by OpenAI and launched on November 30, 2022, notable for enabling users to refine and steer a conversation towards a desired length, format, style, level of detail, and language used.

Even though most of the people are familiar with its public version, for layman usage, it is also available as API. Therefore, one can build their own apps on top of it.

In computer programming, unit testing is a software testing method by which individual units of source code—sets of one or more computer program modules together with associated control data, usage procedures, and operating procedures—are tested to determine whether they are fit for use.

On this course, we shall make unit testing, as an way to teach the concept.