Fundamentals of
Generative AI

With generative AI, take a step into the future! Dive into the realm of AI in this course, which includes analysis and creation, whether it be through text creation, image generation, or the generation of totally new concepts. We'll go over the key resources with you and explain how these AI models operate in the background. Consider it as using AI to increase your creativity and allow you to experiment and invent like never before. It's a lighthearted but enlightening trip through the seemingly endless possibilities of generative AI!

Total Duration : 1 hour

Curated by Maxine Guerra & Joe Smith

Curated by

Sneha Lohana

Instructor at Hunarho

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The learning path to the course

Module 1

Fundamentals of Gen AI

Introduction to Generative AI

History of Artificial Intelligence

Exploring AI, ML, DL

Machine Learning Models

What are Large Language Models?

Generative AI Models

What are the applications of Generative AI?

Generative AI Tools and Platforms

Limitations of Generative AI Models

Security Challenges

Future of Generative AI & Conclusion

Case Study 1

Case Study 2

How Gen AI Works

Generative AI (Gen AI) operates by training a foundation model on various types of data, such as text, images, speech, structured data, and 3D signals. This foundational model serves as the core from which the AI derives its capabilities. Once trained, the model is adapted to perform a wide range of specific tasks. These tasks include:

Question Answering: Responding accurately to queries.
Sentiment Analysis: Analyzing emotions and sentiments within text.
Information Extraction: Extracting useful data from unstructured sources.
Image Captioning: Creating descriptive captions for visual content.
Object Recognition: Identifying and categorizing objects in images or videos.
Instruction Following: Understanding and executing detailed instructions.

By leveraging diverse data inputs, the foundation model enables Gen AI to deliver tailored solutions across various applications.