A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt.
Which consideration will inform the company's decision?
Context window, for sure! The company needs to know how much context the LLM can take in at once. It's like trying to read a book without the previous chapters - you just can't get the full story.
Hmm, I'd say the model size is the key consideration here. The larger the model, the more information it can handle in a single prompt. But don't forget, you've got to have the compute power to back it up!
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