What Do We Want From LLMs?: Agents and Tool Use

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awsdevelopers
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This video explores why testing Large Language Models (LLMs) with simple factual questions misses the point of their true potential. Instead, it demonstrates how combining LLMs with external tools and data sources through agents creates more practical and reliable applications, using a weather-based outfit planner as a real-world example built with Amazon Bedrock.

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AWS Developers
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aws developers, technical tutorials, github
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