ChatGPT which is built on Artificial Intelligence and Machine Learning is failing in assisting decision making, as it is not providing information to input/label.

Artificial Intelligence is a broad area that focuses on creating systems capable of performing tasks that typically require human intelligence. This includes problem-solving, understanding natural language, recognizing patterns, and making decisions.

Machine Learning, on the other hand, is a subset of AI that involves the use of algorithms and statistical models to enable systems to improve their performance on a task through experience.

Essentially, ML allows computers to learn from data, identifying patterns and making predictions without being explicitly programmed for every task.

ChatGPT is built on advanced natural language processing technology developed by OpenAI. It uses deep learning techniques, particularly transformer models, to understand and generate human-like text. This technology allows it to engage in conversations, answer questions, and assist with a wide range of topics by predicting and generating text based on the input it receives.

Use Case:

The below input or label is keyed in to ChatGPT under the “Get Advice” section.

A series of queries were given as input/label to ChatGPT and in response no useful information was provided and the conversation was prolonged. As there were no information provided by ChatGPT, the Artificial Intelligence or Machine Leaning did not aid decision making.

Input or Label: “Canada and India ties and current situation with relation to IT market”.

Response Provide by ChatGPT: No relevant information was provided and conversation was prolonged.

The below is the screen print of input/label and responses provided by ChatGPT.

From this Use Case, we can safely conclude that ChatGPT which utilizes the Artificial Intelligence and Machine learning is not providing any relevant or no information, and by using these, the decision making cannot be made.