Generative AI: Getting Started

Generative AI is a subset of Deep Learning. It uses AI neural networks and can process both the labelled 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.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.The following are the course lessons:**Course Lessons**Section A: Introduction1. Artificial Intelligence vs Data Science vsMachine Learning vs Deep Learning2. Deep Learning TypesSection B: Generative AI and its techniques3. What is Generative AI4. Techniques for implementing Generative AISection C: What are Transformer Models5. Generative AI – TransformersSection D: Large Language Models6. Large Language Models (LLMs) and its use caseSection E: More about Generative AI7. Generative AI - Applications & Challenges8. Generative AI - Chatbots (Model Types)9. Generative AI - Features & ExamplesSection F: Prompts and AI Chatbots10. What are Prompts11. Popular AI ChatbotsAfter completing this course, you will be ready to learn from our following courses on Udemy (udemy/user/studyopedia):Google Gemini CourseChatGPT Course