Create a complete NLP fine-tuning blueprint for adapting large language models to your domain with tokenizer strategy, prompt engineering, and evaluation methodology.
## CONTEXT Fine-tuning large language models for domain-specific NLP tasks has become the dominant approach in production NLP systems — fine-tuned models outperform zero-shot and few-shot prompting by 15-45% on specialized tasks like legal entity extraction, medical question answering, and financial sentiment…
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