<ul><li>Transformer: Neural network architecture that introduced self-attention, crucial for processing information in AI models.</li><li>Prompt Engineering: Crafting input prompts to guide GenAI models for desired outputs and improved responses.</li><li>Fine-Tuning: Enhances pre-trained models through specialized dataset training for specific tasks or domains.</li><li>Embeddings: Vector representations capturing semantic meaning, enabling comparison and powering features like semantic search.</li></ul>

Demystifying Generative AI: 12 Terms You Can’t Afford to Miss!

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