Unlocking Generative AI: Explore Its Power and Applications

HarshD20 146 views 13 slides Jun 27, 2024
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About This Presentation

Generative AI PowerPoint Presentation
Explore the Power of Generative AI!

Discover the capabilities and applications of generative AI through our informative PowerPoint presentation. Learn about its uses in creating content, art, and more. Perfect for educators, professionals, and enthusiasts looki...


Slide Content

BY HARSH

Introduction to Generative AI
How Generative AI Works
Types of Generative AI Models
Applications in Text Generation
Applications in Image Generation
Impact on Industries
AI tools practical uses

Generative AI creates new content like images, text, and
music using neural networks and deep learning. It
autonomously generates realistic and creative output
with applications in art, design, and content creation.

UTILIZES DEEP LEARNING AND NEURAL
NETWORKS TO ANALYZE AND LEARN
PATTERNS FROM DATA.
RELIES ON LARGE, DIVERSE DATASETS TO
TRAIN MODELS FOR GENERATING NEW
DATA.
INCLUDES GANS (GENERATIVE ADVERSARIAL
NETWORKS) AND VAES (VARIATIONAL
AUTOENCODERS) FOR CREATING REALISTIC
OUTPUTS.

Consist of two neural networks: a
generator that creates data and a
discriminator that evaluates it.
Known for generating highly realistic
synthetic data.
Encode data into a compressed format and
then decode it to generate new data.
Useful for creating variations of the original
data in a controlled manner.
GANs (Generative Adversarial
Networks):
VAEs (Variational
Autoencoders):

CHATBOTS AND VIRTUAL ASSISTANTS
CONTENT CREATION

ART AND DESIGN
PHOTOGRAPHY AND EDITING

Entertainment:1.
Game Design & Animation: Enhances realism and creativity in
games and animations.
Movie Effects: Facilitates advanced special effects and CGI,
transforming storytelling.
Healthcare:2.
Medical Imaging: Improves diagnostic accuracy and
visualization through synthesized data.
Drug Discovery: Accelerates research by simulating
molecular structures and interactions.

Grammar and Style
Correction
Speech Recognition
Language Translation
Content Recommendation
Language Learning Apps
Accuracy and appropriacy
Pronunciation improvement
Vocabulary enhancement
Personalised learning
Language assessment