InstructGPT vs ChatGPT: InstructGPT and ChatGPT are two language models developed by OpenAI. However, The main difference between them is their intended use cases.
OpenAI states that ChatGPT and InstructGPT are similar models, but their difference lies in the data type they are trained with.
InstructGPT vs ChatGPT
Training Data: InstructGPT is trained on a massive amount of diverse data, while ChatGPT is trained on conversational data. InstructGPT is fine-tuned on a specific domain or task, while ChatGPT is trained on a general conversational model.
Purpose: The purpose of InstructGPT is to provide businesses and organizations with a powerful tool for natural languages processing tasks, such as content generation, language translation, and data entry. ChatGPT is designed to generate human-like responses in conversational contexts, such as chatbots and virtual assistants.
Fine-tuning: InstructGPT is fine-tuned on specific datasets to perform specific tasks, while ChatGPT is trained on a general conversational model that can be fine-tuned for specific use cases.
Language Model: InstructGPT uses the Transformer architecture, which is currently state-of-the-art in NLP. ChatGPT also uses the Transformer architecture but with a different training objective that is optimized for conversational data.
Output: InstructGPT outputs text that is relevant to a specific task or domain, while ChatGPT outputs conversational responses that are contextually relevant and human-like.
ChatGPT vs InstructGPT Explained Using Examples
The main difference between ChatGPT and InstructGPT is their purpose and training data. InstructGPT is designed for natural language processing tasks in specific domains, while ChatGPT is designed for conversational contexts. While both use the Transformer architecture, they have different training objectives and output different text types.