ChatGPT by Open AI needs no introduction as it is the most hyped deep learning model of 2023. As you know, it is an AI language Generative Pre-Trained Transformer that uses unsupervised learning to generate human-like text and interact with the users in a conversational manner.
Immediately after being released, it generated a lot of excitement in the field of deep learning. Overall, the ChatGPT example is likely to be at the heart of all the future transformations neural networks and deep learning will go through in the upcoming years. With its combination of natural language processing capability, unsupervised learning, and possible adoption across industries, ChatGPT is already transforming the next fields:
Legal services. ChatGPT deep learning technology can help automate legal research, contract review, and other tasks that are time-consuming for lawyers.
Customer support. Using chatbots as a part of customer service isn't a new practice, however, ChatGPT can add a human-like touch to the brand's interactions and learn customer behavior patterns non-stop.
Finance. ChatGPT also performs well at analyzing financial data, detecting fraud, providing investment advice, and streamlining compliance processes in financial services, such as anti-money laundering (AML) and know-your-customer (KYC) regulations.
Healthcare. Although deep learning algorithms aren't going to replace doctors, using this technology can improve patient outcomes significantly. It analyzes vast amounts of patient data, including but not limited to medical history, symptoms, and genetic information, and provides personalized treatment plans.
Manufacturing. Using deep learning for business in a manufacturing field allows for managing supply chains better, developing predictive and preventive maintenance strategies, and improving quality control.