Dec '24 (edited) โ€ข ๐Ÿšจ News
Automated Reasoning - What Amazon nailed with their AI (AWS)
Matthew Berman covered this two days ago and it got side-tracked by all the agent and gaming news - but what Amazon has accomplished is really big! ๐Ÿฆพ
They have announced a breakthrough in automated reasoning using AI, simplifying a previously insanely costly and complex coding task with new capabilities in their ๐—•๐—ฒ๐—ฑ๐—ฟ๐—ผ๐—ฐ๐—ธ ๐—š๐˜‚๐—ฎ๐—ฟ๐—ฑ๐—ฟ๐—ฎ๐—ถ๐—น๐˜€.
๐—œ๐—ณ ๐˜†๐—ผ๐˜‚ ๐—ฐ๐—ฎ๐—ฟ๐—ฒ ๐—ฏ๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—ฝ๐—ฟ๐—ผ๐—ฐ๐—ฒ๐˜€๐˜€๐—ฒ๐˜€ ๐Ÿค“ ๐—ฎ๐˜ ๐—ฎ๐—น๐—น ๐—ต๐—ฒ๐—ฟ๐—ฒ ๐—ฎ๐—ฟ๐—ฒ ๐—ฎ ๐—ณ๐—ฒ๐˜„ ๐—ฒ๐˜…๐—ฎ๐—บ๐—ฝ๐—น๐—ฒ๐˜€ ๐˜๐—ต๐—ฎ๐˜ ๐˜†๐—ผ๐˜‚ ๐—ฐ๐—ฎ๐—ป ๐˜€๐—ผ๐—น๐˜ƒ๐—ฒ:
๐—ฆ๐—ถ๐—บ๐—ฝ๐—น๐—ฒ ๐—ง๐—ฟ๐—ฎ๐—ป๐˜€๐—ถ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฃ๐—ฟ๐—ผ๐—ฝ๐—ฒ๐—ฟ๐˜๐˜† ๐—˜๐˜…๐—ฎ๐—บ๐—ฝ๐—น๐—ฒ:
"When it rains, the ground gets wet. When the ground gets wet, tires have less grip. Thus, when it rains, tires have less grip." This is a simple example of the transitive property in automated reasoning.
๐—–๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜… ๐—ฅ๐˜‚๐—น๐—ฒ ๐—ฆ๐—ฒ๐˜ ๐—˜๐˜…๐—ฎ๐—บ๐—ฝ๐—น๐—ฒ:
Airlines Refund Policy: Airlines have complex refund policies with dozens of pages of rules and situations. Any loophole in these policies can be catastrophic for the airline.
๐—”๐—ช๐—ฆ ๐—œ๐—”๐—  ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ:
AWS uses automated reasoning for their IAM permissioning system, which decides who should have access to what services and at what level. The wrong permission can lead to catastrophic consequences.
๐—Ÿ๐—ฒ๐—ฎ๐˜ƒ๐—ฒ ๐—ผ๐—ณ ๐—”๐—ฏ๐˜€๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ฃ๐—ผ๐—น๐—ถ๐—ฐ๐˜† ๐—˜๐˜…๐—ฎ๐—บ๐—ฝ๐—น๐—ฒ:
AWS uses automated reasoning to interpret and convert a natural language leave of absence policy into logical rules. For instance, "To be eligible for leave of absence, you must have more than 10 years of tenure and be a senior level or higher."
๐—ง๐—ฒ๐˜€๐˜๐—ถ๐—ป๐—ด ๐—Ÿ๐—ผ๐—ด๐—ถ๐—ฐ๐—ฎ๐—น ๐—ฅ๐˜‚๐—น๐—ฒ๐˜€:
Example question: "I'm a temporary contractor. Am I eligible for leave of absence?" The system responds and proves why a temporary contractor is not eligible based on the extracted logical rules.
๐—–๐—ผ๐—ป๐˜๐—ฒ๐˜…๐˜๐˜‚๐—ฎ๐—น ๐—š๐—ฟ๐—ผ๐˜‚๐—ป๐—ฑ๐—ถ๐—ป๐—ด:
Contextual grounding involves loading source material (e.g., a policy document) into a large language model to ask questions. This method is still subject to hallucinations and lacks mathematical proof of correctness.
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Sascha Born
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Automated Reasoning - What Amazon nailed with their AI (AWS)
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