What is Generative AI? Generative AI explained with models & Chatbots

You have already heard about chatGPT and similar tools; if not, please check them out. 

You can google it or leave your comments, and I will guide you. 

In this video, we will move above chatGPT and understand the fundamentals of this space or technology called Generative AI.

In the next few years, let me repeat, in the next few years, not now or this year. Still, some form of generative AI will replace your job under some reorg or restructuring of your company simply because it will optimize the process. If there are 100 people needed today, your company will do well with 80 or even fewer people to achieve similar output. 

You have two options: learn and position yourself to gain out of it or lose to it. We should set ourselves to achieve out of it. 

In fact, like any other technology, generative AI will create many more jobs in the next few years, and those who know it will stand an excellent chance to gain out of it. 

So, in this video, we will learn the overview of Generative AI. 

Generative AI is artificial intelligence capable of creating new and original content or data, such as images, music, videos, or text, based on patterns and rules learned from existing data.

Generative AI has numerous applications in fields such as art, entertainment, design, and advertising, as well as in scientific research and engineering. However, it also raises ethical concerns regarding the potential misuse of the technology, such as creating fake news, deep fakes, or other forms of malicious content.

So be aware of the fake news or fake content created by it. 

GAN, VAEs, Transformer, StyleGAN, DeepDream & Magenta are commonly used models in this space now. 

ChatGPT is based on the transformer model. And you can assume that it has led to significant interest in the transformer model at this stage don'ton't be surprised if you see some other model becoming the season's flavor, if you see a big hit based on some other model. Don'ton’t worry about the slide; you can download it from the site; I have left the link in the description. 

ChatGPT was launched last year in November 2022; since then, we have seen many big releases in this space. Google has already launched the beta of its BARD, Bing has integrated chatGPT in its search, and Adobe has announced the launch of firefly, an image generation tool based on generative AI instead of chatGPT, which is a text generation tool. 

Although numerous other launches exist in this space, these are some of the bigger ones. And these announcements indicate a radical shift in the speed at which we will get these tools.

All major corporations are having FOMO and don't be surprised if you see many more launches in 2023. And that's why it is so essential for us to start learning it. And yes, it doesn't matter if you are not in the tech space; even if you are a marketer or in sales or finance, you still got to learn generative AI and understand its fundamentals. 

Now many of us who don't track tech space; might get the impression that ChatGPT is one of a kind. And the first generative AI based chatbot, which is not true. 

And that's why I will take you through some of the other chatbots in this space. All these are based on generative AI and have been out there for some time now. Before covering others, let's talk about chatGPT or GPT3, the technology powering the chatGPT chatbot. 

Generative AI Examples

1. GPT-4: GPT-4 (Generative Pre-trained Transformer 4) is a state-of-the-art language model developed by OpenAI. It can generate human-like text in natural language and is used in various applications, including chatbots. GPT-3-powered chatbots can hold more realistic and engaging conversations with users than earlier chatbots.
2. Meena: Meena is a chatbot developed by Google that uses a neural network to generate human-like responses. Meena was trained on a large dataset of human conversations and is designed to understand the context of a conversation and respond appropriately.
3. Mitsuku or Kuki AI: Formerly known as Mitsuku is a chatbot developed by Steve Worswick that has won multiple awards for its ability to hold engaging conversations with users. Kuki AI uses a combination of pattern recognition and natural language processing to understand user inputs and generate appropriate responses.
4. Replika-Replika is a chatbot that is designed to be a personal AI friend. It uses machine learning to generate human-like responses and can learn from its interactions with users to provide more personalized conversations over time.
5. Cleverbot: Cleverbot is an AI-powered chatbot that has been around for over a decade. It uses natural language processing and machine learning to generate responses based on user inputs and has had millions of conversations with users over the years.

But as I have mentioned earlier, start learning generative AI; it could give you a significant career boost and put you on a growth path. 

If you are interested in learning more about generative AI, chatGPT, and other similar technology, remember to subscribe, and if you got valuable information from this video, please like and share it with your friends and family.