Published on
December 28, 2023
What is Generative AI - Future of 2024
Reva AI

What is Generative AI: The Hype & Future of 2024?

What is Generative AI?

The term artificial intelligence (AI) describes computer programs that can carry out sophisticated operations that were previously limited to human performance, such as problem-solving, thinking, and decision-making

Artificial intelligence that uses generative models to produce text, graphics, or other media is known as generative AI. After gaining an understanding of the patterns and structure of the training data they receive, generative AI models produce fresh data with comparable features.

Artificial Intelligence
Artificial Intelligence

Artificial intelligence's generative field, which concentrates on producing original information, has the potential to significantly affect many facets of our lives. It can have an impact on human life in many possible ways:

  • Enhanced Productivity and Efficiency: Generative AI can write many creative text formats, create graphics and films, and compose music, among other jobs, automatically. This has the potential to increase productivity and efficiency across a range of industries by freeing up human workers for more intricate and creative tasks.
  • Enhanced Innovation and Creativity: By coming up with fresh notions, developing new ideas, and investigating alternative options, generative AI can help people engage in more creative endeavors. Innovations in disciplines like design, art, and product development may result from this.

Why do you need to know about Generative AI?

Generative AI has become a disruptive force in recent years, impacting technical breakthroughs and changing several industries. Its many uses in the modern era from the creation of imaginative content to the resolution of challenging issues in industries like finance and healthcare make it significant.

  • 1. Customized User Experiences: A key component of creating customized user experiences is the application of generative AI. These systems utilize machine learning to examine user behavior and preferences, producing information that is tailored to each user's preferences. Recommendation engines used by social networking networks, e-commerce sites, and streaming services exhibit this degree of customization.
  • 2. Automated content generation: Large language and image AI models can be used to automatically generate content, such as articles, blog posts, or social media posts. This can be a valuable time-saving tool for businesses and professionals who create content regularly
  • 3. Financial forecasting: By offering advanced tools for data analysis and predictive modeling, generative AI is revolutionizing the banking industry. Financial institutions use these tools for market trend monitoring, fraud detection, and risk assessment. Decisions can be made with more knowledge when complicated financial data sets are processed and comprehended.
Generative AI

How to use Generative AI?

From the user's perspective, engaging with ChatGPT, or other generative AI, Bard usually entails the following steps:

  • 1. Visit the openAI website, and create a free chatGPT account (website link)
  • 2. Ask the generative AI queries or provide input instructions. You can request information on a certain topic or indicate the context using text format.
  • 3. Submit the request or prompt through the interface, and initiate generative AI to generate a response.
  • 4. After analyzing the data, the generative AI produces a written answer. The output is delivered to you instantaneously or soon after you make a request.
  • 5. You should be aware of the generative AI's limitations, including any potential biases and the fact that the technology creates content by applying patterns discovered in training data.
  • 6. Be aware of developments and enhancements to generative AI. Over time, platforms could add new features or improvements.
Example of Gen AI
Example of Gen AI

Examples of Generative AI:

  • ChatGPT: ChatGPT is an artificial intelligence (AI) chatbot that simulates human speech through natural language processing. The language model may write emails, articles, essays, code, social media postings, and other textual content in addition to responding to queries.
  • Bard When we talk about "Bard," we usually mean a generative AI model made specifically for creative writing—that is, for producing poetry or other literary works. Writings that are expressive and artistic can be produced by using a generative AI in the Bard style. Users can enter themes or styles, and the model will provide creative or poetic answers.
  • Mid journey: Midjourney is an AI-based image generation tool that uses a text-to-image model. In simpler terms, it can read your text prompt and create an image based on it. This is not unique to Midjourney. Although OpenAI has previously developed models such as DALL-E 2 and Stable Diffusion, what distinguishes it is its ability to adapt many art styles that may be combined to form a single image.

There are many examples of generative AI other than these, but these three are mostly used.

Also read: What is the Advantage of Having a Website in 2024


In Conclusion, the development of generative AI has ushered in a revolutionary period that is changing the field of human-computer interaction. Generative AI has many applications, as demonstrated by models like ChatGPT, specialized agents for artistic tasks like the Bard, and a variety of themes like "Mid Journey". Even if these three are frequently used, it's important to understand the vast range of possibilities in the subject. Generative AI is constantly pushing the envelope, from improving natural language comprehension to opening up new creative possibilities. We expect new use cases and increasingly more complex models as technology develops, creating a future where human-AI cooperation drives innovation in a variety of fields.


Written by Rajan

Edited by Noor