Generative Pre-training Transformer 3, also known as GPT-3, is arguably one of the most advanced deep learning models for artificial intelligence. But what are its benefits and applications? Find out.
Since the release of Generative Pre-training Transformer 3 or GPT-3, it has taken the world of artificial intelligence (AI) by storm. Created by OpenAI, a San Francisco-based company, GPT is a series of deep learning-based language models known for generating human-like text on a variety of topics. The third version of the model, GPT-3, uses 175 billion different parameters to classify, process the data, and present the results in simple language. And there are several applications where this model can be used. So, if you are also wondering about the benefits of GPT-3, then read on.
Applications of GPT-3
OpenAI claims that there are many applications that GPT-3 can provide. Some of them are listed below.
GPT-3 can perform many natural language processing tasks such as language translation, summarization, and text generation. It can go through a large amount of text such as a Shakespearean play and give you a brief summary of it. It can also provide encyclopedia-style notes on any subject you might ask it, with one important exception. The developers have said that it does not have enough knowledge of the world after 2021. GPT-3 can also communicate in many global languages, including many Indian languages. As such, it is also capable of translating text.
GPT-3 can also be used as a chatbot and virtual assistant that can hold conversations with humans in a natural and human-like way. This means you can type a message and GPT-3 will understand both the text and tone of that message to respond appropriately. This can be very helpful for businesses in creating website chatbots and providing text-based customer support.
The main use case of GPT-3 could be in creating content, such as creating articles, reports or social media post. Since it uses over 175 billion parameters, it is quite adept at finding the right information by scanning through Internet.
For businesses, it can also perform text classification and sentiment analysis tasks. These will involve getting feedback from the customer and analyzing it properly or offering a solution to the complaint by understanding the level of customer dissatisfaction.
Furthermore, GPT-3 can also be used for automated programming, such as generating code in a specific programming language based on input. This will make both coding new software and debugging your code very easy.
With discussions about GPT-4 to be announced soon, the applications of GPT are sure to multiply many times over.
