Generative AI is a subset of deep learning. It uses AI neural networks and can process both labelled and unlabelled 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.
LLMs are a subset of deep learning. LLMs are AI models that power chatbots, such as ChatGPT, Copilot, Google Gemini, etc. LLMs refer to large, general-purpose language models that can be pre-trained and then fine-tuned for specific purposes.
**Course Lessons**
Section A: AI – Introduction
Artificial Intelligence vs Data Science vs Machine Learning vs Deep Learning
Deep Learning Types
Section B: Generative AI and its techniques
What is Generative AI
Techniques for implementing Generative AI
Section C: What are Transformer Models
Generative AI – Transformers
Section D: Large Language Models
Large Language Models (LLMs) and their use case
Section E: More about Generative AI
Generative AI – Applications & Challenges
Generative AI – Chatbots (Model Types)
Generative AI – Features & Examples
Section F: Prompts and AI Chatbots
What are Prompts
Popular AI Chatbots
After completing this course, you will be ready to learn from the following courses on Eduonix:
Google Gemini Course: https://www.eduonix.com/google-gemini-masterclass
ChatGPT Course: https://www.eduonix.com/chatgpt-masterclass
Microsoft Copilot: https://www.eduonix.com/microsoft-copilot-masterclass
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SKILLS YOU WILL GAIN
Learn about Large Language Models
Generative AI Applications
Generative AI Challenges
AI Chatbots Models with examples
WHAT YOU WILL LEARN
Learn Generative AI from scratch.
Get a quick overview about Generative
Get a quick overview about Generative
What is a Transformer Model