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Introduction to Large Language Models

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What are Large Language Models?

  • Neural networks trained on vast amounts of text data
  • Generate human-like text based on input prompts
  • Based on neural network architectures (Transformers)
  • Examples: GPT-4, Claude, Llama, Gemini
  • Applications: writing, coding, conversation, problem-solving
  • Started a revolution in AI capabilities
  • Rapidly evolving field with new advances

Key Capabilities

  • Text generation and completion
  • Question answering
  • Summarization
  • Translation
  • Code generation
  • Creative writing
  • Conversational interaction
This course covers the complete journey of LLMs: from training on internet data to becoming intelligent assistants.
Training Data
Trillions
of tokens from the internet
Parameters
Billions+
Neural network weights
Computing Power
Massive
GPUs and TPUs
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