Large Language Models explained briefly

What is the fundamental operational principle of a Large Language Model (LLM)?

• Generating novel visual content

• Predicting the most probable subsequent token in a sequence

• Executing complex arithmetic operations

• Translating spoken language into written text

The training of Large Language Models (LLMs) primarily involves which of the following processes?

• Manual programming of linguistic rules by human experts

• Iterative refinement of billions of parameters through exposure to vast text corpora

• Biological evolution simulations to optimize neural pathways

• Quantum entanglement for accelerated data processing

Considering a hypothetical human performing 1 billion computations per second, approximately how long would it take to complete the training computations for the largest Large Language Models?

• Approximately one year

• Several thousand years

• Over 100 million years

• A few months

Which architectural innovation enables Transformer models to process entire input sequences concurrently, rather than sequentially, significantly enhancing their efficiency?

• Recurrent Neural Networks (RNNs)

• Convolutional Neural Networks (CNNs)

• The Attention Mechanism

• Long Short-Term Memory (LSTM) units