BERT versus GPT: Which AI model is the Best?

In recent years, Artificial Intelligence (AI) has been extolled by businesses and individuals because of its immense capabilities. With this, BERT and ChatGPT came into competition and now both are striving for supremacy. Both of these chatbots are efficient at comprehending and generating human-like responses. The two are undeniably powerful in terms of performance, but it seems like users are lunging more towards ChatGPT since the release of its latest version. In this blog, we will discuss the strengths and weaknesses of these two competitors. So, keep on reading!

ChatGPT 3 and ChatGPT 4

ChatGPT 3 is an AI model developed by OpenAI which helps individuals to perform a number of Natural Language Processing (NLP) tasks including language translation, answering queries and also summarizing text, but the input and output is limited to 3000 words. This model is trained on 570 gigabytes of Internet text and has 175 billion parameters. Its versatility allows it to adapt to changes in a conversation, no matter how complex the request is. This autoregressive language model is helping companies in code building, providing customer support, data analysis, creating website mockups, interpretation of different languages etc. Later, in this year OpenAI released an enhanced version called the GPT 4. This multimodal large language model has the ability to transform images into texts and interpret it. Since it is trained on 100 trillion parameters (i.e. books, Wikipedia and various other online resources) it can perform many complex tasks. Companies like Duolingo have already incorporated both these models in their operations and many of them are using it for app animations due to its precision, creativity and accuracy.

BERT

BERT, the acronym stands for Bidirectional Encoder Representations from Transformer. It is a product of Google that is best at performing sentiment analysis and helps in natural language understanding (NLU). This model has 340 million parameters and is pretrained on 2.500 million Wikipedia words and 800 million Book Corpus. Its feature of bi-directionality provides better understanding of the context. This tool is very useful for text generation, summarization and question answering. Through its mask language model (MLM) the meaning and context of hidden words can be predicted.

A Comparison

Both GPT and BERT are based on transformer architecture that has many layers. The main difference between the two is that GPT generates text in one direction (i.e. from left to right) because of its autoregressive transformer decoder. This means it predicts the next word on the basis of its relation with the previous word. While BERT processes in both directions for an accurate contextual understanding (i.e. right to left and left to right).

 In conclusion, both ChatGPT and BERT are invaluable NLP tools that are all set to revolutionize the world with their extensive capabilities. BERT is more suitable for tasks that require in-depth understanding of the context while GPT has an edge in text generation.