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Whether you are a seasoned machine learning engineer or just curious, you may be wondering: How is Chat GPT trained?
The AI language model, developed by OpenAI, has become wildly popular in a short period since its launch. So much so that the website often experiences server capacity problems, blocking users from accessing the site.
The online model has the ability to do numerous tasks, generating responses to almost any prompt you give it. But, how was it created?
First things first, Chat GPT was built on the foundation of OpenAI’s GPT-3.5. Another more advanced language model that was built on a massive dataset, typically containing information from the internet.
GPT-3.5 was fine-tuned so it could interact with its users in a conversational format. Let’s explore what this fine-tuning looked like!
According to OpenAI, Chat GPT was trained using “Reinforcement Learning from Human Feedback” (RLHF). Initially, the model went through a process called supervised fine-tuning, where OpenAI trainers played the role of both a human user and an AI bot.
Through this, the trainers created a dialogue sequence in order to emulate how humans communicate, which was then added to the model’s dataset to fine-tune it for conversational uses.
Chat GPT was later improved by creating a reward model to be used for the next step – reinforcing learning. This involved AI trainers interacting with the tool to generate responses. Then grading them from best to worst, based on quality.
With this information, OpenAI could further fine-tune the model using its own technique called Proximal Policy Optimization. If you are looking for detail on this process, OpenAI covers it on its blog.
What type of machine learning is Chat GPT?
OpenAI’s Chat GPT is a Large Language Model. As the name suggests, these models are huge and are built using billions of parameters. They are a type of deep-learning algorithm that can understand and generate text, according to the data on which it was trained.
These sorts of models have a wide range of uses from creating chatbots, acting as search engines, and generating creative content such as lyrics and stories.
Final Thoughts
Grasping the training process of AI language models, like ChatGPT, can be very perplexing. We hope this article has given you an insight into how OpenAI created this infamous language model. If you are interested in other features of Chat GPT, why not read Chat GPT Plus – what you need to know next?