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GPT models operate on a simple yet powerful principle: receiving input (prompts) and generating relevant output based on training data. This input serves as the blueprint for the response, making it essential to understand the mechanics of prompts. From casual questions to intricate programming instructions, prompts unlock the AI’s potential by bridging user intent…
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Generative Pre-trained Transformer (GPT) models have already demonstrated impressive fluency, adaptability, and breadth of capabilities, transforming how we interact with machines. Yet, what we’ve seen so far—the chatbots, code assistants, text summarizers—is only the beginning. As developers, researchers, and organizations push the boundaries of what GPT models can do, we witness a paradigm shift…