Generative AI: Definition, Use Cases, Benefits, & More

Generative AI, or Gen AI, has been buzzing around for the last few years, and you must have heard of it. But can you explain it? Most of us would say it’s an artificial intelligence program that generates different content, including text and imagery. That’s true, but it can also generate audio and synthetic data. 

At the current time, AI Gen technology is being used increasingly in every field. So, having as much information as possible about it is necessary. We are obliged to share a blog with you compiling all the information about Generative AI. 

How Are Generative AI Models Prepared?

Gen AI takes commands in the form of text, images, video, etc., generally called Prompts and produces relevant results. But how is it prepared? Here is how the models are prepared. 

Training

It begins as a foundation model that serves as a base for various AI applications. The most common foundation models at the current time are LLMs, which are (large language models) trained on huge sets of raw, unstructured, and unlabelled data.  

Tuning

After the model is trained with various exercises, it is fine-tuned to produce specific results depending on commands. For this, it is fed labelled data specific to the content generation application questions or prompts.

Generation, Evaluation, and Returning

After all the training and fine-tuning, generative AI models are further evaluated and tuned, usually on a weekly basis. Another method to improve these models is RAG (retrieval augmented generation). It’s a framework for extending the foundation model to use relevant sources outside the training data to refine the original model. 

Generative AI Models

You have learned that AI Gen technology uses various algorithms to represent and process content. Let’s check out 3 Gen AI models for a better understanding. 

Dall E

Dall E is a multimodal AI application identifying links between media like images, audio, and text. It was built using OpenAI’s GPT implementation in 2021 and trained on several images and their associated text descriptions.

ChatGPT

Built with OpenAI’s GPT-4.0 implementation, ChatGPT is a globally known chatbot. It simulates a real conversation with users, answers questions, improves sentence formation, etc. 

Gemini

Google Gemini was built on a lightweight version of its LaMDA family of large language models. It can do several tasks related to writing, generating images, making phone calls, spotting trends and synthesising information. For the latest Android versions, Gemini can also be used as a replacement for Google’s Assistant.

Use Cases of Generative AI

Generative AI is used to ease almost every daily task. We have written some of them in the below section for a deeper understanding. 

• Customer service and technical support
• Creating photorealistic art in specific styles
• Improving dubbing of entertainment and educational content.
• Writing emails, resumes, etc.
• Suggesting new drug compounds to test.
• Optimising new chip designs

Advantages of Generative AI

Below are some benefits of Generative AI that would encourage you to use it. 

• It inspires creativity through automated brainstorming, bringing new variations in content.
• Due to being trained on large datasets it can generate hypotheses and help professionals to make smarter decisions.
• Gen AI can analyse user preferences and generate personalised content in real-time.
• One of the biggest benefits of AI Gen technology is that it can work continuously, offering around-the-clock availability. 

Limitations of Generative AI

Though Generative AI has benefits, we must consider its limitations too:

• It can over-rely on certain info, which can lead to imbalanced output.
• Gen AI can present false information.
• It can’t have ethical principles, comprehend abstract concepts, and make context-based judgments. 

Indeed, generative AI tools are worthy of popularity. They generate a wide variety of content and are continuously evolving. This technology is being used everywhere, from healthcare to education. At this time, it can’t be said what the future holds for this technology, but smart usage is the key to staying safe in the tech-driven world, as these tools also have some drawbacks.

FAQs

1. Who created generative AI?

Joseph Weizenbaum created the first-ever Gen AI in the 1960s, which was part of the ELIZA chatbot. 

2. What does GPT stand for?

GPT is the abbreviation of Generative Pre-training Transformer

3. Who is called the father of AI?

John McCarthy (1927-2011) is considered the father of AI due to his contribution to AI and computer science. 

4. Who is the first AI CEO?

Mika Mika is the first ever AI CEO working in Dictador and was created by Dr. David Hanson.  

5. What type of AI is Alexa?

Alexa is a conversational AI.