Why should you care about GPT-3? Know its applications and benefits

Ever since Generative Pre-trained Transformer 3 or GPT-3 came out, it has taken the world of artificial intelligence (AI) by a storm. Created by OpenAI, a San Francisco-based company, GPT is a series of deep learning based language models which are known for creating human-like text on a wide variety of subject matter. The third iteration of the model, GPT-3, uses 175 billion different parameters to classify and process data and present the outcome in simple language. And there are a number of applications that this model can be used for. So, if you are also wondering about the benefits of GPT-3, then read on.

Applications of GPT-3

OpenAI claims that there are a wide-range of applications that GPT-3 can offer. Some of them are being listed below.

GPT-3 can do many natural language processing tasks such as language translation, summarization, and text generation. It can go through large volumes of texts such as a Shakespearean play and give you a concise summary of it. It can also offer encyclopedia-esque notes on any topic that you can ask it with one significant exception. The developers have said that it does not have adequate knowledge of the world after 2021. GPT-3 also can converse in many global languages including many Indian languages as well. As such, it is capable of translating texts as well.

GPT-3 can also be used as chatbots and virtual assistants that can hold conversations with humans in a natural and human-like manner. This means you can type a message and GPT-3 will understand both the text and the tonality of it to give an appropriate response. This can be very helpful for businesses in creating website chatbots and providing text-based customer support.

A major use case of GPT-3 can be content creation such as generating articles, reports, or social media posts. As it uses more than 175 billion parameters, it is quite adept at finding the right information by scouring the internet.

For businesses, it can also do text classification and sentiment analysis tasks. These would involve receiving feedback from customers and analysing it properly or offering a resolution to a complaint by understanding the level of discontent of a customer

Further, GPT-3 can also be used for automatic programming, such as generating code in a specific programming language based on input. This will make both coding new software and getting your codes checked for errors very easy.

With talks of GPT-4 being unveiled soon, the applications of GPT are sure to increase manyfold.