AI for Innovation

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AI for Innovation

Course Synopsis

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.

Course Learning Outcomes

  1. Students can create new ideas using LLM and generative AI for images.
  2. 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.
  3. Students can come up with creative solutions using the RVC model, Automated ML, and recommender system concepts in e-government for better public services.

Assignment

No. Activity Topic File
1. Task 1 Portfolio Creation

🔥 Important things

  1. AWS Academy Machine Learning for Natural Language Processing

Weekly Schedule

Week Topic
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

Project

Submission

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