FIELD NOTES TOPIC

error correction

3 notes, newest first.

  1. Tuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering

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    The author, a systems engineer, argues that issues with Large Language Models (LLMs) are more about operational procedures than tooling. They propose an operating model for human-AI engineering based on seven…

  2. Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models

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    Researchers propose a new method called Deep Interaction to correct errors made by large language models (LLMs) during complex, multi-step tasks. The method allows for direct editing of the original response, improving…

  3. Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution

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    Researchers have developed a new method called Structured Concept Evolution (SCE) that uses a large language model and structured algebraic mutation grammar to discover Quantum Low-Density Parity-Check (qLDPC) codes…