In this interactive two-part workshop by GDSC of AUM, participants will delve into the world of machine learning and AI tools:

Part 1: Discover the power of pre-trained models, learning their significance, applications, and benefits. Gain hands-on experience working with popular pre-trained models to enhance your machine learning projects.

Part 2: Explore text-to-image models and Grammarly, as we cover the process of creating visuals using Microsoft's innovative models and demonstrate how Grammarly can elevate students' writing skills for better communication.

Join us in this engaging workshop to broaden your knowledge and practical experience with pre-trained models and AI tools, unlocking new possibilities in the machine learning and artificial intelligence landscape.

Recommended:

Please bring your laptops (Windows or Mac) with you in order to work on projects and for your own future work!

Topics to be discussed:

Part 1 topics:

• Understanding pre-trained models in machine learning
• Using pre-trained models with Python, Keras, and PyTorch
• Popular pre-trained models and their use cases
• Importance of pre-trained models for training time and model accuracy
• Applying knowledge of pre-trained models to projects or further study

Part 2 topics:

• Creating text-to-image models and data preparation
• Generating images using Microsoft text-to-image models
• Improving writing skills with Grammarly and understanding its features