Understanding Chat GPT

The video introduces Chat GPT, an AI-powered chatbot that uses natural language processing and machine learning to interact with users. It explains how Chat GPT differs from traditional search engines by providing context-based responses. The video delves into the training process of Chat GPT, highlighting supervised and reinforcement learning. It also discusses the vast data set used to train the model and its ability to generate human-like responses. The video concludes with a look at the future potential of Chat GPT and its next version, GPT-4.

What is one key feature that sets Chat GPT apart from other chatbots?

• It can only answer pre-defined questions.

• It can browse the internet for answers.

• It operates without any training data.

• It can understand context and provide relevant responses.

What does GPT stand for in Chat GPT?

• Graphical Programming Technique

• Generative Pre-trained Transformer

• General Purpose Technology

• Global Processing Tool

Which company created Chat GPT?

• Google

• IBM

• Microsoft

• OpenAI

What is the primary method Chat GPT uses to generate responses?

• Searching the internet

• Using pre-written scripts

• Predicting the next word based on input

• Random word selection

How does Chat GPT ensure its responses are not always the same for identical inputs?

• It uses a random number generator.

• It has a built-in randomness to add creativity.

• It consults a database of varied responses.

• It asks users for feedback.

What is the role of human trainers in the training process of Chat GPT?

• They write all the responses manually.

• They provide supervised learning by acting as both user and chatbot.

• They only provide data for the model to learn from.

• They correct the model's mistakes in real-time.

What is reinforcement learning in the context of Chat GPT?

• A method where the model learns from its mistakes.

• A type of unsupervised learning to understand context and patterns.

• A process where the model is retrained daily.

• A technique to reduce the size of the training data.

Approximately how much data was used to train Chat GPT based on GPT-3.5?

• 100 terabytes

• 45 terabytes

• 20 terabytes

• 10 terabytes

What is one of the improvements expected in GPT-4 compared to GPT-3.5?

• It will only answer questions related to technology.

• It will operate without any human supervision.

• It will use less data.

• It will be trained on more data and be more fine-tuned.

What is the main advantage of using a large dataset for training Chat GPT?

• It allows the model to learn patterns and relationships on a massive scale.

• It ensures the model never makes mistakes.

• It reduces the cost of training.

• It makes the model faster.