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[R] Enhancing Language Model Performance through Context Preservation: A Novel Approach Utilizing Internal State Symbols
May 13, 2023, 9:05 p.m. | /u/sschepis
Machine Learning www.reddit.com
In the domain of conversational AI, the quality of output generated by large language models (LLMs) is of significant importance. This paper explores a novel approach to provide context and improve the quality of LLM responses in conversational settings. The proposed technique involves instructing the LLM to output a series of symbols representing its internal state at the end of its last response, which encapsulates the context and process that led to that answer. When provided with symbols from …
abstract context conversational conversational ai generated importance language language model language models large language models llm llms machinelearning novel paper performance preservation quality responses state through
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