OpenAI has rolled out a highly sophisticated AI chatbot known as ChatGPT, sparking conversation and interest across various platforms.
In Brief
ChatGPT stands out as one of the most intelligent AI conversational models available today.
In contrast to GPT-3, ChatGPT has received thoughtful training aimed at refining its conversational abilities and ensuring that dialogues maintain a natural rhythm. The framework used to develop ChatGPT was completed in early 2022 and comes from a significant set of data. GPT-3.5 series.
The structure of dialogue allows ChatGPT to handle follow-up questions, recognize its mistakes, correct misconceptions, and gracefully decline non-relevant requests. This intelligent chatbot is capable of crafting letters, sharing witty jokes, and addressing a wide range of inquiries.

Much like InstructGPT, the training of this model incorporates Reinforcement Learning from Human Feedback (RLHF) with slight adjustments in how data is gathered. OpenAI's approach includes supervising initial model training with human AI trainers who simulate the user and assistant roles during chats, using guidelines that help shape their responses.
Snapshots of conversations are displayed in the accompanying images.


In order to create a reward model for reinforcement learning, it was crucial to obtain comparison data. This included evaluating multiple responses from the model based on quality. The developers collected transcripts of conversations that AI trainers had with the chatbot to compile this information. They randomly selected a model-generated response, gathered several possible conclusions, and tasked AI trainers with ranking these responses. This enables the adjustment of the model via Proximal Policy Optimization using the generated reward models.

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