A naukri.com initiative
Dev
3w
39
Image Credit: Dev
Automated reasoning and generative AI: Harness creativity with formal verifications
- Automated reasoning, which uses formal logic and mathematical principles to verify statements and properties, offers a complement to modern machine learning approaches.
- Generative AI models including Large Language Models (LLMs), have demonstrated remarkable capabilities in generating human-like text, code, and creative content but face challenges related to accuracy and reliability.
- Organizations need reliability and trustworthiness of AI systems, especially for critical applications like financial services and healthcare.
- Automated reasoning can provide mathematical guarantees of correctness within a given logical framework, while LLMs can handle complex, unstructured data and generalize to new situations.
- Automated reasoning has been used within AWS to guarantee the security and reliability of core services including storage, virtualization, identity management, and cryptography.
- Dafny is a verification-aware programming language that uses proof-based verification for code correctness, while Kani is a model checker for Rust that can prove properties about code by exploring all possible execution paths.
- Automated reasoning coupled with generative AI, addresses the issue of "hallucinations" where AI models generate plausible but factually incorrect information.
- One application of this combined approach is Amazon Bedrock Guardrails, which uses automated reasoning to validate LLM-generated responses against company policies and rules, and provides mathematical proof of correctness along with clear reasoning for why a response is valid or invalid.
- Looking to the future, the integration of automated reasoning and generative AI represents a convergence of AI’s historical approaches and has the potential to play a crucial role in shaping the next generation of AI applications.
- Organizations benefit from a reliable AI system with improved trust and operational efficiency through automated validation and faster response times, while maintaining scalability through consistent application of rules and updating policies.
Read Full Article
2 Likes
For uninterrupted reading, download the app