In this video Talkdesk’s Ben Rigby explains the key differences between ChatGPT, large language models (LLMs) and generative AI.
What Is the Difference Between ChatGPT, Large Language Models, and Generative AI?
ChatGPT is a chat application or a product that’s offered by OpenAI, which is the company that made ChatGPT. It really is just a product that you can use to chat with, that delivers reasonable and humanlike responses.
Now it’s built on top of a large language model. A large language model is a type of neural network, or it’s a flavour of AI model, that’s been trained on large quantities of unlabelled text.
Which essentially means all of the internet has been funneled into this large language model, and it has billions of weights. And weights are like little knobs that you turn this way and that way to impact how that large language model makes its predictions.
And these have been in widespread use since about 2018. But OpenAI’s ChatGPT large language model, the model that’s powering ChatGPT, was the breakout success because it delivered more humanlike responses than ever before.
Generative AI is an umbrella term that refers to any of these models that produce novel outputs. Meaning that we haven’t seen the output before. ChatGPT produces an output that hasn’t been written anywhere before.
Midjourney produces an output in image form that has artwork that hasn’t been seen before. And there are these models that produce video, that produce 3D models. All of these are referred to as generative AI.
Thanks to Ben Rigby at Talkdesk
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