Which term is the speed at which a pre-trained foundation model (FM) processes requests and delivers output?
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- ○ Model size
- ○ Inference latency
- ○ Context window
- ○ Fine-tuning
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Which term is the speed at which a pre-trained foundation model (FM) processes requests and delivers output?
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A company uses foundation models (FMs) to automate daily tasks. An AI practitioner at the company is creating system instructions that include context that is relevant to the tasks. The AI practitioner wants to save and reuse the instructions in daily interactions with FMs in Amazon Bedrock. Which Amazon Bedrock solution will meet these requirements?
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A company is preparing data to fine-tune a large language model (LLM). The company must follow the principles of responsible AI. Which actions will meet this requirement? (Choose two.)
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