AWS Certified AI Practitioner Practice Exam

A company wants to build generative AI using Amazon Bedrock. What factor will inform how much information can fit into one prompt?

1. Temperature

2. Context window

3. Batch size

4. Model size

The correct answer is: Context window

The context window is a crucial factor that determines how much information can be processed in a single prompt when building generative AI using Amazon Bedrock. Essentially, the context window defines the maximum number of tokens (words or characters) that the model can consider at one time when generating a response. A larger context window allows for more comprehensive input, enabling the model to retain and consider more previous information when formulating its output. In generative AI, especially when working with language models, this context is vital as it helps ensure that the generated responses are relevant and coherent based on the preceding content. Therefore, understanding the limitations of the context window is essential for designing prompts that effectively utilize the model’s capabilities, and it ultimately informs the quality and depth of the AI’s generative processes. Other factors, while relevant to various aspects of model performance or behavior, do not directly influence how much information can fit into one prompt as determined by the model's architecture. For instance, temperature controls the randomness of the output but does not affect the prompt length. Batch size pertains to how many prompts can be processed simultaneously during inference but does not change the content of individual prompts. Model size can impact the overall capability of generating responses, but not the specific limit on