5 Questions
What technique involves accessing knowledge bases to supplement an LLM's outdated training data?
Retrieval augmentation
Which method involves crafting prompts with critical context to guide appropriate responses?
Prompt engineering
What technique involves training the LLM on more appropriate data for the application domain?
Fine-tuning
Which of the following techniques helps reduce hallucination risk in an LLM?
Prompt engineering
What is the purpose of adapting the model's behavior for its specific purpose?
Fine-tuning
Learn about techniques to mitigate limitations of Large Language Models (LLMs), such as retrieval augmentation, prompt engineering, and fine-tuning on more appropriate data for the application domain.
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