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Explore contemporary AI advancements encompassing generative AI, Large Language Models, and Automated Machine Learning. Additionally, delve into AI's applications in social media and business, specifically focusing on recommender systems.
- Students can create new ideas using LLM and generative AI for images.
- Students can fully grasp and use the latest generative AI advancements, making different types of content beyond text. They'll learn about transformer basics and master efficient model development through automated machine learning. Also, they'll understand using AI in social media and business, enhancing user experience with precise recommendations.
- Students can come up with creative solutions using the RVC model, Automated ML, and recommender system concepts in e-government for better public services.
No. | Activity | Topic | File |
---|---|---|---|
1. | Task 1 | Portfolio Creation | ![]() |
Week | Topic |
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1 | Modern AI Development, RVC Model (Retrieval-based Voice Conversion), Generative AI workings, AutoML Role |
2 | Introduction to Generative AI (LLM) and chatGPT use case |
3 | chatGPT use case for idea generation and document review |
4 | LLM use case for recommendations, chatbots, and translation |
5 | Generative AI for images: midjourney, etc |
6 | Generative AI use case for academia |
7 | Advancements in Generative AI: Beyond Text to Multimodal Creations |
8 | Understanding Transformer Architecture: The Backbone of Modern LLMs |
9 | Automating Machine Learning for Enhanced Efficiency |
10 | Leveraging AI in Social Media and Business: The Power of Recommender Systems |
11 | AI Models Available on the Internet, Creative Process in Generative AI, Automated Machine Learning, AI in Various Business Sectors, AI Pitfalls, Future of Technology and AI |
12 | AI in Business and Social Media: Recommender Systems |
13 | Collaborative Filtering Recommender System |
14 | Content-Based Recommender System |
15 | Knowledge-Based Recommender System |
16 | Comprehensive Assignment |
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