Five interesting uses for GPT-3

December 29, 2022

The revolutionary AI languagemodel GPT-3

Open AI’s GPT-3 (in words: generativepre-trained transformer-3) model is one of the most powerful language modelever built. Due to its easy access through API it is also currently the most well-known model. It includes a range of differently sized models having a number of trainable parameters. The largest GPT-3 model uses around 175 billion parameters as compared to the previous language model, NLG, which used 10 billion parameters. This seems like a lot to train a model, such that it is hard to differentiate the text generated by the model and a human. As it has language capabilities that makes it funny, witty, thoughtful and convincing, it is rightly the state of the art technology and hence the new and latest hype in the tech world.

5 most interesting uses you need to know about OPEN AI GPT-3

Open AI’s GPT3 is being used by over 300 different apps and various companies to facilitate them in different areas. Following are some of the amazing uses of this cutting edge machine learning based model.


Code Generation: GPT-3 has the ability to convert natural language into source code. Yes it is that simple and dream of every programmer. With GPT3 playground, you can type your request in simple English and allow the application to generate the code for you. E.g. ‘Please create a Python class that sorts the contacts in my phonebook’

With GPT-3 you can also design websites just by explaining what type of menu bar or dropdown you want.

It can help with forming SQL queries; however we will still need a tool to convert the generated text into proper SQL.

Text Prediction: GPT-3 can be used for generating responses with chatbots, forming effective memos to send for your business, generating summaries from texts. It can be used to complete sentences for you or write stories for given topics. This diverse nature of GPT-3 makes it very promising in generating natural language. It can copy the style of famous authors and writers to generate similar pieces of work.

Data Analytics: GPT-3 can help companies predict data and trends for them, understanding customer needs and making better decisions regarding business choices.

Education: GPT-3 maps complicated concepts into simple English making it more understandable and detailed. It can translate complex sentences into simpler ones and also convert a simple sentence into a more complicated text.

Medical: In the field of medical and science GPT-3 can predict the diagnosis on the basis of previous prescriptions and history of a patient.

Risks and limitations

No doubt that GPT3 is advanced language model with great uses but like every other model, this powerful machine learning model has its limitations. It lacks full understanding of the real world and may generate biases. Moreover, the quality of the output depends on the quality of the input -thus it greatly relies on the structure of input text given to it. It cannot be relied upon solely in sensitive matters like healthcare. Another important concern is that GPT-3 can be used to create fake news reports. Also, GPT-3 is often not capable of handling multiple tasks at once.

Open AI has released GPT-3.5 an advanced version of GPT3. However, In the near future GPT-4 is being trained on and likely ready to be released soon in 2023.