Introduction to Generative AI
📰 Dev.to · Indumathi R
Learn the basics of Generative AI, including how it generates content and the role of models like LLMs, and why it matters for AI development
Action Steps
- Learn the definition of Generative AI and its application in generating text, images, and videos
- Understand how models, such as LLMs, are used to generate output based on user input
- Explore the concept of a model as a mathematical equation and its training process using backpropagation
- Discover the role of LLMs in predicting the next word in a sequence
- Experiment with LLMs, such as GPT, to see how they generate output based on input queries
Who Needs to Know This
Data scientists, machine learning engineers, and AI researchers can benefit from understanding the fundamentals of Generative AI to develop and improve AI models
Key Insight
💡 Generative AI uses models, such as LLMs, to generate output based on user input, and understanding these models is crucial for developing and improving AI applications
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🤖 Introduction to Generative AI: learn how models like LLMs generate content and predict the next word #AI #MachineLearning #GenerativeAI
Key Takeaways
Learn the basics of Generative AI, including how it generates content and the role of models like LLMs, and why it matters for AI development
Full Article
Title: Introduction to Generative AI
URL Source: https://dev.to/indumathi__r/introduction-to-generative-ai-6in
Published Time: 2026-05-24T03:11:43Z
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[Indumathi R](https://dev.to/indumathi__r)
Posted on May 24
# Introduction to Generative AI
[#ai](https://dev.to/t/ai)[#machinelearning](https://dev.to/t/machinelearning)[#tutorial](https://dev.to/t/tutorial)[#beginners](https://dev.to/t/beginners)
**What is Generative AI ?**
For the given user input(user query), output like text,image, video etc will be generated. This is called generative AI.
**How it generates content?**
A model will be used to generate output. i.e model will receive input and based on that, it will generate a output.
**What is a model?**
At its core, model is nothing but a mathematical equation.It will be multidimensional. vast amount of multimodal data (text,audio,video, image etc) would be subjected to training to get the required mathematical equation. To get the desired state, backpropagation will be carried out.
120b model means, equation has, 120 billion parameters. One of the commonly used model type in generative ai is **LLM**.
**What is LLM ?**
LLM stand for large language model. LLM basically predict the next word. If i provide the input query as **hello** to gpt model, based on the data it was trained, it will predict and returns
URL Source: https://dev.to/indumathi__r/introduction-to-generative-ai-6in
Published Time: 2026-05-24T03:11:43Z
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[Indumathi R](https://dev.to/indumathi__r)
Posted on May 24
# Introduction to Generative AI
[#ai](https://dev.to/t/ai)[#machinelearning](https://dev.to/t/machinelearning)[#tutorial](https://dev.to/t/tutorial)[#beginners](https://dev.to/t/beginners)
**What is Generative AI ?**
For the given user input(user query), output like text,image, video etc will be generated. This is called generative AI.
**How it generates content?**
A model will be used to generate output. i.e model will receive input and based on that, it will generate a output.
**What is a model?**
At its core, model is nothing but a mathematical equation.It will be multidimensional. vast amount of multimodal data (text,audio,video, image etc) would be subjected to training to get the required mathematical equation. To get the desired state, backpropagation will be carried out.
120b model means, equation has, 120 billion parameters. One of the commonly used model type in generative ai is **LLM**.
**What is LLM ?**
LLM stand for large language model. LLM basically predict the next word. If i provide the input query as **hello** to gpt model, based on the data it was trained, it will predict and returns
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