Large language models (LLMs) can be used for extracting information from unstructured text data through prompt engineering and fine-tuning. Prompt engineering allows LLMs to generate suggestions, explanations, or completions of text in an interactive way. Fine-tuning LLMs on small amounts of domain-specific data enables them to
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Table of contents
Prompt engineeringPrerequisitesDeploy Llama-2-70b-chat using SageMaker JumpStartSensitive data extraction and redactionEntity extractionClassification using prompt engineeringFine-tuning an LLM for classificationPerformance comparisons and considerationsClean upSummaryAdditional readingSort: