Today, we're joined by Byron Cook, VP and distinguished scientist in the Automated Reasoning Group at AWS to dig into the underlying technology behind the newly announced Automated Reasoning Checks feature of Amazon Bedrock Guardrails. Automated Reasoning Checks uses mathematical proofs to help LLM users safeguard against hallucinations. We explore recent advancements in the field of automated reasoning, as well as some of the ways it is applied broadly, as well as across AWS, where it is used to enhance security, cryptography, virtualization, and more. We discuss how the new feature helps users to generate, refine, validate, and formalize policies, and how those policies can be deployed alongside LLM applications to ensure the accuracy of generated text. Finally, Byron also shares the benchmarks they’ve applied, the use of techniques like ‘constrained coding’ and ‘backtracking,’ and the future co-evolution of automated reasoning and generative AI.
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📖 CHAPTERS
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00:00 - Introduction
2:08 - Automated reasoning
8:01 - Applications of automated reasoning at AWS
12:13 - Breakthroughs in automated reasoning
17:55 - Relation to RL
19:17 - Automated reasoning in Bedrock guardrails
23:02 - Validating the policies
26:02 - Automated reasoning in GenAI
33:57 - Automated reasoning eliminates hallucinations
45:02 - Intractable problems and real-world customer insights
47:09 - Benchmarks of automated reasoning in genAI
50:18 - Constrained coding
52:11 - Future directions
🔗 LINKS & RESOURCES
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AWS re:Invent 2024 - https://reinvent.awsevents.com/
Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks - https://aws.amazon.com/blogs/aws/prevent-factual-errors-from-llm-hallucinations-with-mathematically-sound-automated-reasoning-checks-preview/
Amazon Bedrock Guardrails - https://aws.amazon.com/bedrock/guardrails/
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