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A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.

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Neural

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.

  • Updated Nov 30, 2025
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Ứng dụng web toàn diện cung cấp thông tin chi tiết về điểm chuẩn đại học năm 2024 tại Việt Nam. Với các tính năng tìm kiếm nâng cao, thống kê trực quan, so sánh đa chiều và chatbot trí tuệ nhân tạo hỗ trợ tư vấn, hệ thống giúp thí sinh và phụ huynh dễ dàng tiếp cận và phân tích thông tin tuyển sinh

  • Updated Apr 22, 2025
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Tutor-Ai is a SaaS platform for teachers to manage class quizzes and grade student submissions using OCR technology. Built with Django, it features Llama-3 & Gemma:7b, Google Vision API integration for automatic grading, and is hosted on Google Cloud. It offers a secure, scalable, and user-friendly solution for educators.

  • Updated May 28, 2024
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This AI-powered tool extracts Subject-Predicate-Object (SPO) triplets from unstructured text using LLMs, performs entity standardization and relationship inference, and generates interactive, community-detected knowledge graphs with rich visualizations.

  • Updated Apr 12, 2025
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