ChatGPT and Prompt Engineering With Advanced Data Analysis - Technology behind ChatGPT (In Simple Terms)

The video tutorial explains the technology behind Chart GBT, focusing on artificial intelligence, machine learning, and deep learning. It discusses the differences between weak and strong AI, and delves into neural networks, including artificial, convolutional, and recurrent neural networks. The tutorial highlights the limitations of RNNs and introduces Transformers, emphasizing their self-attention mechanism and encoder-decoder structure. The video concludes with a focus on ChatGPT, a transformer-based language model, and its applications in language tasks.

What is the primary difference between weak AI and strong AI?

• Weak AI can perform tasks without human intervention.

• Strong AI is capable of human-like reasoning and understanding.

• Weak AI is used in robotics.

• Strong AI is limited to structured data.

How does deep learning differ from machine learning?

• Machine learning is used for unstructured data.

• Deep learning is a simpler form of machine learning.

• Deep learning is more advanced and handles unstructured data.

• Machine learning requires no data input.

What is a key feature of Recurrent Neural Networks (RNNs)?

• They are primarily used for image recognition.

• They use internal memory to process sequences.

• They have no memory of past inputs.

• They process data in a single direction.

Why were Transformers developed as an improvement over RNNs?

• RNNs were more accurate than Transformers.

• Transformers are only used for image data.

• Transformers can handle extended sequences better.

• RNNs were too fast for processing data.

What mechanism do Transformers use to process sequential data effectively?

• Convolutional layers

• Self-attention mechanism

• Feed-forward networks

• Recurrent loops

What is the primary function of the transformer decoder model in ChatGPT?

• To handle structured data

• To perform image recognition

• To process language tasks like translation and summarization

• To predict stock market trends

Who authored the paper 'Attention is All You Need' that introduced the transformer model?

• Elon Musk

• Vaswani and others

• Mark Zuckerberg

• Bill Gates