SPI a presentation for seminar and project initiation course

A presentation for seminar and project initiation course

1. Seminar PPT Department of Computer Engineering, Pimpri Chinchwad Polytechnic, Nigdi Pradhikaran , Pune - 44 A Presentation for Seminar and Project Initiation Course Presenter Name : Vinayak Vijay Rakshe Enrollment No.: 23211000153

2. Artificial Intelligence (AI) refers to the simulation of human intelligence by machines, enabling them to perform tasks that typically require human cognition such as learning, reasoning, problem-solving, and decision-making. What is AI ?

3. INTRODUCTION TO GENERATIVE AI Generative AI is a subfield of artificial intelligence that uses algorithms and models to create new content such as text, images, videos, and other data based on the patterns it learned from training data. Key Characteristics: Produces novel content, not just classifies or analyzes Works on prediction and creation based on input prompts Uses large-scale neural networks and deep learning models

4. HOW GENERATIVE AI WORKS? Training Phase: The AI model is trained on huge amounts of data. Generation Phase: When given a prompt or input, the model uses its learned knowledge to predict and create new content. Neural Networks: These are layers of artificial neurons connected by weighted links; they helps improve prediction and content generation accuracy.

5. Why Generative AI is Different ? Analytical AI vs. Creative AI Analytical AI : Analytical AI is the application of AI techniques to examine data, uncover patterns, and produce predictions or decisions that optimize outcomes. Creative AI : Creative AI is artificial intelligence that generates novel, human-like content—such as text, images, music, code, or designs.

6. TYPES OF GENERATIVE AI StyleGAN , DeepFake , CycleGAN Beta-VAE, Vector Quantized VAE GPT series (GPT-3, GPT-4), PixelRNN Denoising Diffusion Probabilistic Models (DDPM), Stable Diffusion GPT series, BERT, T5

7. Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)

8. APPLICATIONS OF GENERATIVE AI IN IMAGE GENERATION Generative AI can create new, realistic, or artistic images from text prompts or existing images. How it Works :

9. APPLICATIONS OF GENERATIVE AI IN TEXT GENERATION

10. APPLICATIONS IN AUDIO AND VIDEO Music Composition and Generation: AI models create original music pieces, genres, and soundtracks, assisting musicians and producers. Video Synthesis and DeepFakes : Creating realistic synthetic videos, face swapping, and video editing for entertainment, advertising, and misinformation concerns. Automated Video Editing: AI helps in cutting, enhancing, and composing video content automatically, speeding up production processes.

11. BENEFITS OF GENERATIVE AI Enhances Creativity: Enables creation of new ideas, artworks, music, and content beyond human imagination. Improves Efficiency: Automates repetitive creative tasks, freeing humans to focus on higher-level problem-solving and innovation. Enables Innovation Across Fields: Useful in healthcare, entertainment, marketing, design, education, and more by offering novel solutions. Cost-Effective: Reduces costs associated with manual content production and data collection. Supports Human-AI Collaboration: Acts as a creative partner, enhancing human skills rather than replacing them.

12. CHALLENGES / RISKS FOR GENERATIVE AI

13. FUTURE POSSIBLITIES Automated Scientific Research: Hypothesis generation, experiment design, and data interpretation. Advanced Creativity and Collaboration: Fields like art, design, writing, and music. Personalized AI Companions: Personalized tutors, assistants, or companions that adapt deeply to individual needs. Healthcare Innovations: Accelerated drug discovery, precision medicine, and personalized treatment plans. Ethical and Explainable AI: Development of transparent generative models with ethical guidelines

14. HOW TO GET STARTED WITH GENERATIVE AI Learn the Basics of AI and Machine Learning: Explore Popular Generative AI Models: Choose a Platform or Framework: Start with Simple Projects: Utilize Online Courses and Tutorials: Join AI Communities and Forums:

15. CONCLUSION Generative AI represents a powerful leap in artificial intelligence, capable of creating original and meaningful content across various domains. It is transforming industries such as art, healthcare, entertainment, education, and scientific research. While offering significant benefits, generative AI also poses challenges including ethical concerns, bias, and technical limitations. Responsible development and use of generative AI will be key to harnessing its full potential for societal good. Embracing generative AI today prepares individuals and organizations for the creative, innovative future ahead.

16. THANK YOU !