Generative AI Fundamentals

This article discusses what is Generative AI and History and Future of Generative AI. It helps to understand Generative AI fundamentals.

Background

Human memory is enriched with lot of images or visuals which will easily identifies objects from memory. Example if you have seen any remote either it can be TV, AC, etc. We can easily understand that is Remote. How? Our data stored that object as remote. Likewise, computers also retain data that can be processed when needed based on specific commands. In essence, the functioning of Artificial Intelligence (AI) relies on this stored data to operate effectively.

In Simple words How we AI works, with help of data. Generative AI also works with data with help of models.?

AI Landscape

1. Artificial Intelligence – AI

• What is AI?? AI is making computer intelligence.

2.Machine Learning – ML

• What is ML? ?We try to learn the patterns and predict the future.
• It can be 2 types.

1.??? Supervised learning - Labelled data (Featured Data label)

2.??? Unsupervised learning – Unlabeled Data (This is used for Random Analysis).

3.Deep Learning - DL

• What is DL? We try to learn the pattern and predict the future in specific way.
• It can be 2 types.

1.??? Labelled data (Featured Data label)

2.??? Unlabeled Data (This is used for Random Analysis).

4.Generative AI – Gen AI

• It used normally Deep learning concept, so it comes subset of Deep learning.
• Generative is Unlabeled Data, it can generate from data repository. This type of model called Foundation model.
• It can be 2 types.

1.??? Language model (GPT)

2.??? Image Model (Mid Journey).?

?? In short, we can say.

• ML+DL is A system to Predict /Classify/Cluster
• Gen AI is A system to Generate.

AI vs Generative AI

If we consider simple formula, Y = F(x)

• X is Input
• Y is output
• F is function to estimate here F will do job for Predict /Classify/Cluster

But in Generative AI , F is the function to generate. Here we can generate text, image, audio, video.

Generative AI

Generative Artificial Intelligence is a kind of AI technology that can create new content, such as text, images, or any other media when the user provides a specific prompt to it.

It does this by learning patterns from existing data and then using this data and knowledge to generate unique outputs.

Generative AI is capable of producing highly realistic and complex content that mimics human creativity. This feature makes it a valuable tool for many industries, such as gaming, entertainment, and product design.

Examples of Generative AI tools

• Dall-E => it is used to create image from text
• ChatGPT => it is used to create text from text (conversational?model used here)
• Bard => it used for composition like music,audio.

Generative AI vs Predictive AI

• Generative AI focuses on creating original and novel content, while predictive AI aims to forecast future outcomes based on historical data patterns.
• Generative AI algorithm focus to create actual content, where predictive AI algorithm uses to create predictive analysis based on past data which is more used for weather forecast kind of predictions.

Generative AI categories

2 types

1.?????? LLM (Large language Model)

2.?????? Image based.

What is LLM (Large language Model)

• Trained on very large data, Generic in nature.

·???????? Example ChatGPT

• Trained on Millions and billions of parameters.

·??????????? Example: Google (PlaM), Microsoft (ChatGPT) , Meta have their own model

History and Future of Generative AI

1.?? NLP (Natural language processing)

It helps machines process and understand the human language so that they can automatically perform repetitive tasks.?

Example: chatbot, speech recognition, text summarization, and machine translation

2.?? GANs (generative adversarial networks)

It has 2 components.

1.????????????? Generative – this component generates the data based on input

2.????????????? Discriminator – this component makes realistic output.

3.?? GPTs (Generative pre-trained transformers)

It has 2 components.

1.????????????? Encoder

2.????????????? Decoder

?We can say example here Chat GPT.

Generative AI Benefits and Risks

Generative AI Benefits

·???????? It can do everything a human can, and the performance is similar to or better than that of humans.?

·???????? This performs Automation.

·???????? We can make Photo Realism, example using Dall-E tool we can make very realistic images. This helps in design area.

·???????? More Productivity, example in business we can make documentation in short time with help of using ChatGPT.

Generate AI Limitations

·???????? Source content - Quality of output is based on input content.

·???????? Bias

·???????? Incorrect information

·???????? New method to adapt take time.

Generative AI Data privacy Limitation

·???????? Regulation compliance

·???????? Data leakage

·???????? Fake data creation

·???????? Data storage and life span

·???????? vulnerability of data

How we can protect Data privacy in Generative AI

·???????? Minimize data collection – required data.

·???????? Aggregation and Anonymization

·???????? Data Polices

·???????? Encryption

·???????? Access control

·???????? Auditing and monitoring

The growing role of generative AI tools in various industries

·???????? Video Game making

·???????? Automated design

·???????? Audio, Video, Text, Voice creation

·???????? Text generated area

·???????? Metaverse

Area of Generative AI applicable

·??????????? Healthcare

·??????????? Education?

·??????????? Business and Finance – operation management, optimize data

·??????????? Marketing Advertising

·??????????? Media and entertainment

Generative AI in health care

1.?????????? Conversational patient? conversation and support - using GPT

2.?????????? Early disease detection – image based.?

3.?????????? Enhanced medical training.

4.?????????? Medical product development and Design

Generative AI in Education

1.?????????? Personalized learning experience

2.?????????? Training material creation

3.?????????? Learning assessment tools

4.?????????? Personal tutor - one to one guidance

Generative AI in Business and Finance

1.?????????? Operational management

2.?????????? Targeted ads and social media

3.?????????? Personal finance – planning

4.?????????? Presentation

?

Generative AI in Marketing Advertising

1.?????????? Market strategies

2.?????????? Content creation, repurposing, localization

Generative AI in Media and Entertainment

1.?????????? Content personalization

2.?????????? Immersive experiences

3.?????????? Scalable content creation

4.?????????? Art and media creation

Some of Generative tools available in market

·??????????? Dall-E

·??????????? ChatGPT

·??????????? GitHub Copilot

·??????????? Google Gemini

Conclusion

Generative AI has emerged as a powerful force in the technological landscape, enabling content creation and innovation across numerous domains. Here in this article explained fundamentals of Generative AI.