首页|Research on Data Intelligence Detailed by a Researcher at Xihua University (LLaM A-LoRA Neural Prompt Engineering: A Deep Tuning Framework for Automatically Gene rating Chinese Text Logical Reasoning Thinking Chains)
Research on Data Intelligence Detailed by a Researcher at Xihua University (LLaM A-LoRA Neural Prompt Engineering: A Deep Tuning Framework for Automatically Gene rating Chinese Text Logical Reasoning Thinking Chains)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on da ta intelligence. According to news reportingout of Chengdu, People’s Republic o f China, by NewsRx editors, research stated, “The exption of Chinesenatural lan guage processing (NLP) has stimulated research in the broader NLP domain.”The news reporters obtained a quote from the research from Xihua University: “Ho wever, existinglarge language models have limitations in comprehending and reas oning in Chinese. This paper addressesthese limitations by enhancing Chinese la nguage models comprehension and reasoning capabilities whileminimizing resource requirements. We propose LLaMA-LoRA, a neural prompt engineering framework thatbuilds upon the LLaMA-13B model and incorporates the Low-Rank Adaptation(LoRA) of Large LanguageModels technique for refinement. Chain-of-Thought(CoT) are cru cial for generating intermediate reasoningchains in language models, but their effectiveness can be limited by isolated language patterns. Erroneousreasoning resulting from conventional prompts negatively impacts model performance. Automa tic promptsare introduced to encourage reasoning chain generation and accurate answer inference.”
Xihua UniversityChengduPeople’s Repu blic of ChinaAsiaData IntelligenceEngineeringMachine Learning
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