IntentTrace-xAI
Nghia9912
A deterministic and neuro-symbolic framework for evaluating LLM-generated code using Abstract Syntax Trees, Semantic Embeddings, and Integrated Gradients. Think of it as a 'Digital Polygraph' for AI. It uses a three-step verification process to ensure the AI didn't 'misunderstand' your instructions
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2 data points · 2026-04-13 → 2026-04-20How do you feel about this project?
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Question copied to clipboardWhat is the Nghia9912/IntentTrace-xAI GitHub project? Description: "A deterministic and neuro-symbolic framework for evaluating LLM-generated code using Abstract Syntax Trees, Semantic Embeddings, and Integrated Gradients. Think of it as a 'Digital Polygraph' for AI. It uses a three-step verification process to ensure the AI didn't 'misunderstand' your instructions". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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