Tagged "hallucination-reduction"
6 articles tagged hallucination-reduction, 25 February 2026 to 2 May 2026. Newest first.
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AI Coding Tools Are Silently Disagreeing with Each Other
A GitHub project highlights conflicting outputs from different AI coding tools, revealing consistency issues that matter for local LLM deployment in development workflows. Understanding these disagreements helps teams choose and tune models for their specific coding patterns.
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I built an O(1) physics engine to stop LLM hallucinations in construction
Practical approach to reducing LLM hallucinations in specialized domains by integrating constraint-based physics validation into inference pipelines.
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Lat.md: Agent Lattice – A Knowledge Graph for Your Codebase in Markdown
A new tool that builds structured knowledge graphs from codebases in Markdown format, enabling better context management and retrieval for AI agents operating on local codebases.
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Council: A Structured Deliberation Protocol Across Diverse AI Models
A new framework enables structured communication and deliberation between multiple AI models running locally, improving decision-making quality through multi-model consensus.
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OpenSpec: Spec-driven development (SDD) for AI coding assistants
OpenSpec introduces a specification-driven development framework designed to improve reliability and consistency of local AI coding assistants through structured specifications.
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Show HN: 100% LLM Accuracy–No Fine-Tuning, JSON Only
A technique for achieving perfect LLM accuracy on structured outputs using JSON schema constraints rather than model fine-tuning, reducing computational overhead for local deployments.