In today’s world, where everyone is talking about AI, there is another term that many people are discussing – generative AI. In this Article, we will try to learn what generative AI is and how tools like ChatGPT and Google Gemini work using generative AI.

First, let’s understand what AI (Artificial Intelligence) is, and then we will move on to generative AI. Artificial Intelligence involves making systems or machines intelligent. This is achieved through machine learning or deep learning.

To visualize this, think of AI as the broad concept, under which we have machine learning, and within machine learning, we have deep learning.

Generative AI utilizes both machine learning and deep learning models to provide outputs. These generative artificial intelligence systems utilize machine learning techniques, training on past data, to generate new content.

How traditional AI differs from generative AI?

• Traditional AI involves Artificial Intelligence, machine learning, and deep learning, but it primarily predicts, classifies, or clusters data based on inputs. It does not generate new content.
• On the other hand, generative AI can generate text, images, videos, and sounds. This capability to create new content is what makes generative AI unique.

How Generative AI works?

Generative AI works with different models. The most popular model are LLMs (Large Language Models) like those used by ChatGPT and Google Bard. These model are trained on vast amounts of data. Companies like Google, Microsoft, and Meta have access to large datasets and have developed their own LLMs.

These LLMs are trained using self-supervised learning, which means they analyze inputs and predict the next token or sequence of characters in a document.

Understanding generative AI involves knowing that it can generate new content based on previous data it has learned from. This is different from traditional AI, which cannot generate new content but can only predict, classify, or cluster existing data.

Generative AI has many applications:

• It can create conversational chatbots like ChatGPT, which can engage in human-like conversations.
• It can generate text for blogs, emails, articles, brochures, essays, and documents.
• It can summarize emails, paragraphs, or even books.
• It can analyze large datasets to make predictions or forecasts.
• It can write code in different programming languages like Python or C++.

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Conclusions

Hope you find this article helpful. Understanding these basic terminologies and concepts like artificial intelligence, generative AI, machine learning, and LLMs is essential. These are the fundamentals that will help you navigate the ever-evolving field of AI.