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Generative AI: Large Language Models, Fine-Tuning, and Prompt Engineering (Part 2)

Generative AI: Large Language Models, Fine-Tuning, and Prompt Engineering (Part 2)

Part 2 focuses on Large Language Models (LLMs) like ChatGPT, exploring fine-tuning for domain adaptation and prompt engineering for precision. It defines embeddings as numerical text representations and provides examples of effective prompts. The paper demonstrates how refined input and targeted datasets yield more accurate, context-aware AI outputs.

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