Table of Contents


Categories


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Prompt


Technical Understanding

  1. Architecture and models
  2. Training process
  3. Data sources and biases
  4. Differences between products (e.g., ChatGPT vs. Microsoft Copilot)
  5. Differences between versions (e.g., GPT-3 vs. GPT-4)
  6. Limitations and constraints

Usage and Applications

  1. Common use cases
  2. Industry-specific applications
  3. Integration with other technologies
  4. Automation and productivity enhancement
  5. Ethical and responsible AI usage

Business and Enterprise Adoption