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How does text generation with Generative AI work?

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Text generation with Generative AI involves models like GPT (Generative Pre-trained Transformer). Here’s how it works:

  1. Pre-training: Models are initially trained on a massive corpus of text data, learning grammar, context, and language nuances.
  2. Fine-tuning: After pre-training, models are fine-tuned on specific tasks or datasets, making them domain-specific.
  3. Autoregressive Generation: GPT generates text autoregressively, predicting the next word based on context. It’s conditioned on input text.
  4. Sampling Strategies: Techniques like beam search or temperature-based sampling control the creativity and diversity of generated text.
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