What is AI, ML, DL and NLP ?
Artificial Intelligence is a broad field with several subsets, including machine learning, deep learning and natural language processing. Let's learn what are these and how they are related to each other.
Artificial Intelligence (AI)
It is branch of computer science focused on performing tasks without human intervention. Similar like mimicking human intelligence to perform a task.
For example, self-driving cars, voice assistance like Siri and automation machines.
Machine Learning (ML)
ML is focused on developing algorithms and making machines learn. In other words, machine learns to perform tasks by training on datasets. There are different types of machine learning based on the use cases of a problem.
For example, email spam filtering, product recommendation, house price detection, stock price prediction etc.
Deep Learning (DL)
Deep Learning is a subfield of machine learning and is responsible for many inspiring AI advancements seen in the news, such as self-driving cars and ChatGPT. Deep Learning is inspired by the human brain's structure.
Examples of deep learning include image segmentation, video segmentation etc. which performs complex task than basic machine learning does.
Natural Language Processing (NLP)
It is subfield of Artificial Intelligence that uses machine learning to enable computers understand and communicate with human language.
Its research has enabled the era of generative AI, by leveraging Large Language Models (LLMs) and successfully many applications were launched like ChatGPT, Claude.ai, Gemini etc.