Galaxy Of AI

Hello Learners…

Welcome to The Galaxy Of AI…

Galaxy Of AI is a Blog about Artificial Intelligence, Machine Learning, Deep Learning, And Data Science.

“Machine intelligence is the last invention that humanity will ever need to make.”

— Nick Bostrom

At GalaxyofAI.com, we embark on an exhilarating journey through the realms of machine learning, deep learning, data science, natural language processing (NLP), generative AI, and the power of Python.

Our mission is to guide you through the cosmos of cutting-edge technologies, equipping you with the knowledge and skills to navigate the ever-evolving landscape of artificial intelligence.

It is the Galaxy Of AI

Galaxy Of AI’s Popular Posts (Last 7 Days)

AI vs ML vs DL vs Generative AI vs DS

• First, we understand the basic difference between artificial intelligence, machine learning, deep learning, generative ai, and data science.
• we all heard about these terms at some point in our life and many peoples have been confused about what exact differences between them.
• here we discuss the entire differences between all so we will never have any kind of confusion.

Artificial Intelligence

• In Artificial Intelligence we create an application that can perform its own task without any human intervention.

• Examples:
  • Netflix Recommendation System
    • whenever we see any action movies after some time we can see some other action movies on our Netflix dashboard which are recommended to us by Netflix
  • Self-Driving Cars
    • In self-driving cars also there are some specific AI models which will help the car to be driven by itself without any human intervention also it will able to detect the objects that are coming in front of it, it is happening because AI models are integrated into that car.
• https://galaxyofai.com/category/artificial-intelligence/

Machine Learning

• Machine Learning is a subset of AI.
• It provides a stats tool to analyze the data, visualize the data, do some kind of prediction on data, and forecast the specific data.
• whether we are working as machine learning engineers or data scientists, at the end of the day we will create an AI application.
• https://galaxyofai.com/category/artificial-intelligence/machine-learning/

Deep Learning

• Deep Learning is a subset of ML.
• Deep Learning is used to create a model based on the functionalities of our brain and how our brain can learn things.
• Deep Learning uses multi-layered neural networks to create models.
• Whether we are working as deep learning engineers, machine learning engineers, or data scientists, at the end of the day we will create an AI application. That specific application performs its own task without any human intervention.
• https://galaxyofai.com/category/artificial-intelligence/deep-learning/

Generative AI

Generative AI focuses on generating new content. These specific models assist us in generating new content based on the data they have already been trained on.

There are two types of model in generative AI,

• LLM (Large Language Models) For Text Data
• LIM (Large Image Models) For Images And Videos

In generative AI, a model trains on a huge amount of data, and its task is to generate new data based on any inputs it receives.

Data Science

• Data Science is a part of all the things like artificial intelligence, machine learning, and deep learning.
• As data scientists, we have to know how to create an AI application. As data scientists have to use maths, stats, and many more things.
• Data Science utilizes every sector of AI.
• In short, if anyone works as a data scientist, they get tasks related to just EDA(Exploratory data analysis), feature engineering, deep learning, or it may be related to creating an AI application.
• In any role at the end of the day, we have to just create an AI application.

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