Instruction Fine-Tuning Machine-Learned Models Using Intermediate Reasoning Steps
Topics: AI Mode, Graph RAG, Knowledge Graph, LLMO / GEO, Retrieval Augmented Generation (RAG)
The Google patent describes a method for training machine learning models, particularly focusing on sequence processing. This involves utilizing a series of training examples that include queries, responses, and traces of reasoning steps. By evaluating both the responses and the reasoning traces against ground truth data, the model’s parameters are updated to enhance learning. This method aims to improve the model’s ability to process complex queries through structured, step-by-step reasoning.
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