Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker
AWS Big Data
FEBRUARY 1, 2024
Prompt engineering is about guiding the model’s output by crafting input prompts, whereas fine-tuning is about training the model on custom datasets to make it better suited for specific tasks or domains. Before you can fine-tune a model, you need to find a task-specific dataset. For instructions, refer to Create your first S3 bucket.
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