Retrieval-augmented language model pre-training and fine-tuning
Topics: AI Mode, AIOverviews, Chunk Relevance, Gemini, LLM Readability, LLMO / GEO, Passage based retrieval, Ranking, Retrieval Augmented Generation (RAG)
The Google patent describes a novel approach to enhancing the pre-training and fine-tuning of neural-network-based language models by integrating a knowledge retriever. This system allows the language model to dynamically obtain relevant documents from a large corpus during training, enabling it to produce more accurate outputs without the need for storing all information within the neural network parameters. This method can reduce computational complexity and storage requirements while improving performance on varied tasks.
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