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.