ChatGPT and BERT are both powerful innovations in the world of AI. Bert is an AI model developed by Google in 2018, while ChatGPT is an AI model developed by OpenAI in 2022.
ChatGPT and BERT have some similarities, as listed below:
Both are natural language processing (NLP) models that process the text input by humans and generate coherent and meaningful responses.
Both use deep learning techniques to learn the interesting patterns and relationships between the data.
Both are pre-trained on a large variety of text data that allows them to understand human languages' general patterns and structure.
Differences between these AI models lie in the purpose they are developed for, their architecture, and their applications.
OpenAI ChatGPT | Google BERT |
ChatGPT is designed to be a chatbot that can carry on conversations like humans. | BERT is designed to perform tasks like named entity recognition, sentiment analysis, and question-answering. |
ChatGPT generates human-like responses to textual questions using generative transformers. It processes the text in one direction and produces a less context-aware response than BERT. | BERT produces context-aware responses to the textual questions using bidirectional transformers to understand the context of the input text by processing it simultaneously in both directions, i.e., right to left and left to right. (It is for this reason that it's called BERT, which stands for Bidirectional Encoder Representations from Transformers). |
ChatGPT is more of a customized model that can be trained on specific use cases. | BERT is more of a general-purpose model and is a less customized model than ChatGPT. |
ChatGPT is a good choice when we want a prompt and precise response to a question. For example, retail and customer service businesses can benefit better from ChatGPT. | BERT is a good choice when we require an in-depth comprehension of the context of a sentence. For example, health and finance-related businesses should use BERT. |
ChatGPT and BERT are applicable AI models used to perform various NLP tasks. Both are built on top of transformers, but ChatGPT uses generative transformers, while BERT uses bidirectional transformers, making them different in their applications. So, depending on our business needs, we can choose one that better meets our requirements.
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