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Build a Generative AI Medical Device Training Assistant with NVIDIA NIM - NVIDIA Developer
A guide on using NVIDIA NIM microservices to build generative AI medical device training assistants that provide real-time, hands-free answers to improve clinical efficiency.
阅读全文 →Developing an AI-Powered Tool for Automatic Citation Validation Using NVIDIA NIM
Learn how to leverage NVIDIA NIM microservices to develop automatic citation validation tools that enhance the efficiency of scientific literature review processes.
阅读全文 →Fine-grained Emotion Analysis: A Survey - arXiv
Comprehensive survey on fine-grained emotion analysis, covering recent advances in hierarchical emotion classification and evaluation metrics for emotion understanding systems.
阅读全文 →Retrieval-Augmented Generation: A Survey - arXiv
A comprehensive survey on Retrieval-Augmented Generation (RAG), exploring its principles, architectures, and applications in enhancing LLM capabilities.
阅读全文 →Private Large Language Models - A Survey on Private Deployment of LLMs
Survey on private deployment of large language models, covering security considerations, on-premise solutions, and privacy-preserving techniques for enterprise AI.
阅读全文 →NVIDIA NIM: Enterprise-Ready Microservices for Generative AI - NVIDIA
Official documentation on NVIDIA NIM microservices, providing enterprise-ready containers for deploying generative AI models with optimized performance and security.
阅读全文 →将“softmax+交叉熵”推广到多标签分类问题
2023/10/10
阅读全文 →Building LLM Applications with Prompt Engineering - NVIDIA
Comprehensive guide on using prompt engineering techniques to build LLM-based applications, covering text generation, large-scale document analysis, and chatbot assistants.
阅读全文 →Mastering LLM Techniques: LLMOps - NVIDIA Developer Blog
Deep dive into LLMOps concepts, exploring how to manage and optimize the lifecycle of large language models, including training, evaluation, and deployment.
阅读全文 →AI Chatbot with Retrieval-Augmented Generation - NVIDIA
Learn how to build an AI chatbot powered by large language models that can accurately answer questions about enterprise data using RAG techniques.
阅读全文 →Building RAG Agents with LLMs - NVIDIA Training
Comprehensive course on building Retrieval-Augmented Generation agents using large language models for enhanced question-answering systems.
阅读全文 →publications
Emotional Earth Mover’s Distance for Fine-Grained Hierarchical Emotion Analysis
Effective emotion understanding has become increasingly important in developing human-centered interactive systems. We propose Emotional Earth Mover's Distance (EEMD), a no...
阅读全文 →Citation: Yu H T, Li D, Kang X. Emotional Earth Mover's Distance for Fine-Grained Hierarchical Emotion Analysis[C]//International Conference on Advanced Data Mining and Applications. Singapore: Springer Nature Singapore, 2025: 296-310. https://link.springer.com/chapter/10.1007/978-981-95-3453-1_20