Polaris-Next v5.3: A Design Aiming to Eliminate Hallucinations and Alignment via Subtraction
Analysis
This article outlines the design principles of Polaris-Next v5.3, focusing on reducing both hallucination and sycophancy in LLMs. The author emphasizes reproducibility and encourages independent verification of their approach, presenting it as a testable hypothesis rather than a definitive solution. By providing code and a minimal validation model, the work aims for transparency and collaborative improvement in LLM alignment.
Key Takeaways
- •Polaris-Next v5.3 aims to reduce hallucination and alignment issues in LLMs.
- •The design is presented with code and a minimal validation model for easy verification.
- •The author encourages third-party testing and validation of the system's effectiveness.
Reference
“本稿では、その設計思想を 思想・数式・コード・最小検証モデル のレベルまで落とし込み、第三者（特にエンジニア）が再現・検証・反証できる形で固定することを目的とします。”