Understanding how Aritical Intelligence is made as well as how to create machine learning modesl are both important skills that can beneficial in any career path.

Accessing AI

Accessing AI systems can be done in multiple ways. If you are aiming to use AI as a resource. Those such as the chatgpt and microsoft copilot can be benefical introductory resources.

If you are interested in coding an AI such as the ones we are familiar, you will most likely need access to an Integrated Development Environment. You will also need a strong background in introductory coding languages such as Python.

Machine Learning can also be accessed primarily through coding introductory coding languages such as Python and R. This will come through in the form of using commands to build your model, clean your data, and interpret the results.

Artifical Intelligience vs Machine Learning

Artificial Intelligience

Aritificial Intelligence is primarily used for Answering Questions, and assisting in performing tasks thaty may otherwise take a long time to perform. This form of AI is also commonly used as as tool. We will look more into how to build an AI model known as a Retrieval-Augmented Generation (RAG) later.

Machine Learning

Machine Learning is a type of AI that we can’t interact with using the human languae like we can with our other type of AI. Despite this, machine learning is still a very useful tool for taking in data to make predictions that allow us to answer questions.

Next Steps

One thing to note about AI is that it is very water and energy intensive, so it is best to use as a tool insteed of a toy. Now that we have established the difference between AI and Machine Learning. Let’s take a brief look into how these are made.

« Previous: AI Next: Building an AI »