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Comprehensive tactics for optimizing large language models for your application

Blog: Oracle BPM

Although LLMs might appear magical in their capabilities, their results can sometimes be unimpressive. In this article, we discuss four key techniques for optimizing LLM outcomes: Data preprocessing, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning. To illustrate the application of these concepts, we include customer case studies demonstrating the effectiveness of these methods.

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