How Does ChatGPT Work? A Deep Dive into AI Language Models
What actually happens when you type a prompt: tokenization, attention, three-stage training, and prediction — plus where the approach shines and where it breaks.
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What actually happens when you type a prompt: tokenization, attention, three-stage training, and prediction — plus where the approach shines and where it breaks.
ChatGPT is the product — chat window, memory, safety rules — while the LLM is the engine underneath. The difference explained, with a worked trust-check example.
A comparison of prompt engineering and context engineering using first-party definitions: what each method covers, a differences table, when to start with each, a failure-driven decision framework, common risks, and how to evaluate either approach.