21 Aug Generative AI Tutorial
Generative AI is a subset of Deep Learning. It uses AI neural networks and can process both the labeled and unlabeled data using supervised, unsupervised, and semi-supervised methods. It refers to a class of artificial intelligence models and algorithms designed to create new content. These models can generate text, images, music, and other forms of data that mimic human-created content.
Generative AI applications are built on top of large language models (LLMs) and foundation models. LLMs are deep learning models.
What you’ll learn
- Learn Generative AI from scratch.
- Get a quick overview of Generative
- Learn about Generative AI techniques and approaches
- What is a Transformer Model
- Learn about Large Language Models
- Generative AI Applications
- Generative AI Challenges
- AI Chatbots Models with examples
Viewers
The Generative AI tutorial is prepared for students, engineers, and professionals. This tutorial will be useful for understanding the AI concepts for Machine Learning and Data Science enthusiasts.
Generative AI Tutorial – Index
- Generative AI – Introduction and Process
- What are Large Language Models (LLMs)
- Artificial Intelligence vs Machine Learning vs Data Science vs Deep Learning
- Types of Deep Learning
- Techniques for implementing Generative AI
- What are Transformers in Deep Learning
- Generative AI Applications and Challenges
- Generative AI – Model Types
- Generative AI Chatbots – Features with Examples
- What is a Prompt in Generative AI
- Popular AI Chatbots
Who this course is for:
- Those who want to learn Generative AI and its models
- Those who want to learn what is a transformer model
- Learn about the process of the Transformer Model
- Those who want to understand the process of generating new content with Generative AI
- Gain a deep understanding of Generative AI
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