Case-Based Reasoning

DS-Agent: Case-Based Reasoning for Near 100% Success in Data Science Tasks

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DS-Agent: Case-Based Reasoning for Near 100% Success in Data Science Tasks

MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and industry researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

Alibaba: AirRAG Enhances Complex QA Reasoning Capabilities

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Alibaba: AirRAG Enhances Complex QA Reasoning Capabilities

Alibaba: AirRAG Enhances Complex QA Reasoning Capabilities! 🌟 Introduction 1️⃣ As the complexity of tasks increases, RAG faces new challenges, including the difficulty of retrieving sufficient knowledge in a single query and understanding the complex reasoning logic in questions. 2️⃣ This article proposes AirRAG, which activates intrinsic reasoning capabilities and expands the solution space by … Read more

Impact of Reasoning Step Length on LLM Performance

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Impact of Reasoning Step Length on LLM Performance

Report by Machine Heart Machine Heart Editorial Team This article conducts a controlled variable experiment on the reasoning step length of the thinking chain, finding that the reasoning step length is linearly correlated with the accuracy of the answers, and this influence mechanism even transcends the differences generated by the problem itself. Today, the emergence … Read more

DS-Agent: Case-Based Reasoning for Data Science Tasks

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DS-Agent: Case-Based Reasoning for Data Science Tasks

MLNLP community is a well-known machine learning and natural language processing community, with an audience that includes NLP graduate students, university professors, and industry researchers from both domestic and international backgrounds. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, … Read more

Components of Expert Systems

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Components of Expert Systems

The structure of an expert system varies slightly depending on the application field and problem type, but generally, the typical structure of an expert system is shown in the figure below: Alright, let me describe the structure of an expert system. An expert system typically consists of the following components: Knowledge Base: The knowledge base … Read more

DS-Agent: Case-Based Reasoning for Data Science Automation

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DS-Agent: Case-Based Reasoning for Data Science Automation

Machine Heart Column Machine Heart Editorial Team Case-based reasoning empowers large model agents to tackle automated data science tasks. Teams from Jilin University, Shanghai Jiao Tong University, and Wang Jun’s team have released a framework focused on data science called DS-Agent. In the era of big data, data science encompasses the entire cycle of extracting … Read more