Generative AI Explained | What is Generative AI? | How Generative AI Works? | Generative AI Meaning

Generative AI Explained | What is Generative AI? | How Generative AI Works? | Generative AI Meaning

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Welcome to the realm of Generative AI, where artificial intelligence isn't just learning; it's creating. Join us as we unlock the secrets of how these digital brains are transforming ideas into reality across art, literature, and technology!

In this What is Generative AI tutorial, we'll explore:

What is Machine Learning?
Understand how computers learn from data to make decisions and predictions. machine learning (ML) field gives computers the capacity to autonomously learn from data and past experiences, finding patterns to generate predictions with little to no human input.

What is Deep Learning?
Artificial intelligence (AI) deep learning trains machines to process information in a manner similar to that of the human brain. To generate precise insights and forecasts, deep learning models are able to identify intricate patterns in images, text, sounds, and other types of data.

Large Language Model: What Is It?
A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. Huge data sets are used to train LLMs, hence the term "large." Machine learning, namely a kind of neural network known as a transformer model, is the foundation of LLMs.

What is Generative AI?
Discover how new media including writing, photos, movies, and music are produced by this creative subset of artificial intelligence that mimics human intellect. In addition to being able to react to human speech authentically, generative AI can be used to personalize customer workflows and provide customer assistance.

Why Learn Generative AI?
Increased production and efficiency. Businesses may automate laborious and complex operations with generative AI, which helps them to enhance workflows, increase productivity, and allocate resources wisely.

Generative AI Models: Examine the various models, such as variational autoencoders (VAEs), diffusion models, and generative adversarial networks (GANs).

*Prejudice and Principles in Generative AI:* Learn about biases in AI models and the principles for ensuring ethical and fair AI development.

How Generative AI Works?
Supervised Learning: Discover how models learn from labeled data to create mappings between inputs and outputs.
Unsupervised Learning: Learn how models find structure and patterns in unlabeled data.
Reinforcement Learning: Understand how models learn through trial and error with feedback from their actions.

Some of the top 5 uses of Generative AI:
Improve customer experiences. Chatbots and virtual assistants
Boost employee productivity. Employee assistant
Enhance creativity & content creation. Marketing
Accelerate process optimization. Document processing

Key Moments :
00:50 - What is Machine Learning?
02:06 - Types of Machine Learning
03:59 - What is Reinforcement Learning?
04:58 - What is Deep Learning?
05:51 - Applications of Deep Learning
06:08 - What is Generative AI?
07:07 - What is LLM?
12:58 - Generative AI Models
17:39 - Principles in Generative AI

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Embark on this exciting journey into the world of Generative AI and discover how it's shaping the future of creativity and technology. Watch now and elevate your understanding with upGrad!

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