10 Questions
Which type of neural network is also known as a multilayer perceptron?
Feed-forward network
What aspect of Large Language Models (LLMs) does the author choose to ignore in the article?
The token fragments used by LLMs
In the context of ChatGPT, what process did the successor to GPT-3, GPT-3.5, undergo?
Reinforcement Learning with Human Feedback (RLHF)
What happens after a neuron in a neural network computes a weighted sum of its inputs?
It passes the result to an activation function
Which model has OpenAI described in detail among the GPT versions?
GPT-3
What is the fundamental principle behind how large language models operate?
They rely on statistical probabilities derived from the training data.
What does the author mean by the term 'hallucinations' in the context of large language models?
Outputs that seem human-like but lack true understanding.
How does the author characterize the nature of large language models?
Nonrational and purely deterministic mathematical processes.
What happens when a large language model appears to 'understand' a concept like a unicorn?
It combines descriptions and examples from the training data.
What metaphor does the author use to describe large language models?
A mirror that reflects human knowledge and understanding.
Explore how neural networks can classify sequences based on contextual information and patterns within word vectors. Learn how attention heads in the feed-forward layer contribute to identifying relevant keywords within a sequence.
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