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Core Concepts and Architectures in NLP and Large Language Models

Natural Language Processing (NLP) enables computational systems to interpret and generate human language. Key tasks include text classification for spam filtering, sentiment analysis for social media monitoring, machine translation, automatic summarization, generative text creation, conversational a...

Debugging Unexpected LLM Invocations in Dify's Knowledge Retrieval Node

Context A Dify instance was deployed locally on a GPU server, integrated with Xinference hosting the THUDM/glm-4-9b-chat model. A RAG workflow was built using Dify’s default task flow template and a local knowledge base. During chat execution, the knowledge retrieval node failed with an error: Model...

Implementing a RAG-Based Assistant with InternLM and Huixiangdou

Overview of Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation integrates an external knowledge base with a large language model to improve response quality. This approach modifies the model's generation process by first retrieving relevant information from a pre-constructed corpus....