Tencent Hunyuan Large Model Application Practical Course - AI Tutorial Materials

What is the Tencent Hunyuan Large Model Application Practical Course?

The Tencent Hunyuan Large Model Application Practical Course is a series of courses created by Tencent for university teachers and students, and has been launched on the National Higher Education Smart Education Platform. Combining Tencent's advantages in large model technology, the course covers comprehensive content from general knowledge of large model technology to practical AI tool skills. The course focuses on core functions such as multimodal generation and logical reasoning, and designs application scenario cases such as smart teaching, research assistance, and disciplinary integration. Based on technical principle analysis and case-based hands-on exercises, it helps teachers and students use large models for teaching, research, and academic innovation. The course helps university teachers and students use large models in a standardized and efficient way, accelerates education teaching and research innovation, and promotes the widespread application of artificial intelligence technology in the education field.

Main Functions of the Tencent Hunyuan Large Model Application Practical Course

• Technology display and promotion: Introduces Tencent's technical strength and products in the field of artificial intelligence, including the Hunyuan large model, multimodal generation technology, AI programming tools, etc., showcasing innovation capability and technical advantages.
• User education and guidance: Based on detailed operation guides and use cases, it helps users quickly master the usage methods of Tencent AI tools and guides users to explore the application of AI technology in different scenarios.
• Industry exchange and cooperation: Shares Tencent's technical roadmap and practical experience, provides references for the industry, promotes the openness and popularization of AI technology based on open source plans, and facilitates cooperation and exchange.
• Promote technological innovation and application implementation: Demonstrates Tencent's innovative achievements in fields such as multimodal generation and RAG technology, and based on actual application cases, promotes the implementation and application of AI technology in various industries.
• Cultivate developers and user groups: Provides development tools and learning resources, helps developers improve their skills, lowers the threshold for using AI technology, and attracts more users to try and use Tencent's AI products.
• Build brand image and trust: Demonstrates technical achievements and product advantages, establishes Tencent's professional image in the AI field, and enhances users' trust in and recognition of Tencent's AI products.

Official Website Address of the Tencent Hunyuan Large Model Application Practical Course

• Official website address：https://higher.smartedu.cn/course/

Course Introduction of the Tencent Hunyuan Large Model Application Practical Course

Section 1: Panoramic Introduction to the Tencent Hunyuan Large Model

• Course introduction: The course introduces the full-chain self-development, capability building, industry applications, and open source plans of the Tencent Hunyuan large model. Hunyuan achieves technological breakthroughs and widespread application based on continuous iteration. It performs excellently in thinking, perception, and creation capabilities, and its models across modalities are in industry-leading positions. Hunyuan helps improve the efficiency and innovation of Tencent's businesses, promotes AI transformation in industries such as healthcare and consumer electronics, improves users' learning and work efficiency, inspires creative inspiration, and actively open-sources to make AI capabilities more accessible.
• Course content：
  • Full-chain self-development and technological breakthroughs: The Tencent Hunyuan large model achieves full-chain independent research and development from underlying algorithms to framework platforms. Based on continuous iteration, it has achieved comprehensive breakthroughs in capabilities such as large language models, multimodal understanding, and 3D generation, and its models across modalities remain firmly in the industry's first tier.
  • Facilitate industrial innovation and transformation: The Hunyuan large model is fully integrated into Tencent's business scenarios, significantly improving business efficiency and innovation capability, promoting AI transformation across thousands of industries such as healthcare and consumer electronics, and helping enterprises achieve model reconstruction.

• • Enhance user experience and efficiency: The Hunyuan large model helps users improve learning and work efficiency, inspires creative inspiration, and brings users a more intelligent and more convenient experience.
  • Open source and openness drive widespread adoption: The Hunyuan large model is actively open-sourced, making AI capabilities easier to obtain and apply through an open platform, promoting the popularization of AI technology and the development of the industry ecosystem.

Section 2: Tencent Yuanbao Usage Guide: An AI All-Around Assistant Driven by the Dual Models Hunyuan & DeepSeek

• Course Introduction: Introduces Tencent Yuanbao, a usage guide for an AI all-around assistant driven by the dual models Hunyuan and DeepSeek. It has core functions such as model switching, deep thinking, web search, document reading, intelligent writing, image analysis, and voice conversation, and explains AI conversation techniques, such as assigning role attributes, describing task background, constraining output formats, and flexibly switching functions, to help users better use the AI assistant.
• Course Content：
  • Introduction to Core Functions: Tencent Yuanbao has a variety of powerful functions, including model switching, deep thinking, web search, document reading, intelligent writing, image analysis, and voice conversation, meeting users' diverse needs in different scenarios.
  • Model Switching and Deep Thinking: Users can flexibly choose the Hunyuan and DeepSeek models according to the required scenario, and the two have their own characteristics and applications. Deep thinking mode can generate more comprehensive, accurate, and structured answers based on multi-step logical analysis, contextual association, and knowledge integration.

• • AI Conversation Techniques: Provides practical AI conversation techniques, such as first assigning the AI role attributes before asking questions, describing the task background in detail, constraining the format of AI answer output, and flexibly switching between deep thinking and web search, helping users improve the efficiency and quality of communication with the AI assistant.
  • Strong practicality: The course content focuses on practicality and explains in detail the various functions and operation methods of Tencent Yuanbao, allowing users to get started quickly and improve work and learning efficiency.

Section 3: Mastering Yuanqi: Step-by-Step Guide to Building Your Own Intelligent Agent and Mastering Practical Role Companion Techniques

• Course Introduction: Mainly introduces the basic knowledge of intelligent agents, the use of the Tencent Yuanqi platform, and intelligent agent building cases. An intelligent agent is an intelligent system based on a large language model, used in various scenarios, such as emotional companionship and knowledge Q&A. Based on the Tencent Yuanqi platform, users can create personalized intelligent agents to meet specific needs. Cases include building a cute AI kitten to provide emotional companionship, importing game guides as a knowledge Q&A assistant, a drawing assistant based on a portrait stylization plugin, and an intelligent tool for completing career introduction tasks.
• Course Content：
  • The Core Value and Application Scenarios of Intelligent Agents: Intelligent agents are based on large language models and have task planning, memory, and tool calling capabilities. They are widely used in various scenarios such as emotional companionship, knowledge Q&A, code development, and task planning, significantly improving work efficiency and user experience.
  • The Practicality and Advantages of the Tencent Yuanqi Platform: Based on the Tencent Yuanqi platform, users can quickly create agents, defining basic information, AI settings, and tool configurations. The platform helps users build personalized agents, making up for the shortcomings of general AI in depth and personalization, and meeting specific needs.

• • Diverse Cases of Agent Building: Use multiple cases to demonstrate the diverse applications of agents, including a cute AI kitten character based on emotional resonance, a knowledge Q&A assistant importing game guides, a drawing assistant with a portrait stylization plugin, and an intelligent tool for achieving career introduction tasks, reflecting the practicality and flexibility of agents in different fields.
  • Pathways to Personalization and Customization: Emphasize the importance of creating personal agents. Based on the Tencent Yuanqi platform, users customize agents according to their own needs, improving service precision and meeting personalized needs in specific scenarios.

Section 4: Tencent ima: A Knowledge Base That Thinks, Easily Unlocking a New Experience in Search, Reading, and Writing

• Course Introduction: Introduce Tencent ima, a knowledge base tool that can think, supporting an improved search, reading, and writing experience. The article explains RAG technology and points out that large models have problems such as hallucinations, outdated knowledge, and lack of professional depth. RAG overcomes these limitations based on the three steps of retrieval, augmentation, and generation. It introduces in detail the download and usage methods of Tencent ima, including functions such as literature search, reading, knowledge storage, and writing. Finally, based on practical tasks, it guides users to import materials, generate mind maps, join shared knowledge bases, ask questions, write literature review frameworks, and other operations, and recommends following the official account to get update information.
• Course Content：
  • The Core Value and Principles of RAG Technology: RAG (Retrieval-Augmented Generation) technology is based on the three core steps of "Retrieve - Augment - Generate," solving the common limitations of large models in practical applications, such as hallucination problems, knowledge lag, and lack of professional depth. It accurately combines retrieved knowledge to generate high-quality content and is widely used in many scenarios such as travel, job seeking, and law.

• • Tencent ima's Efficient Knowledge Management and Creation Functions: Tencent ima is a powerful knowledge base tool that supports multiple functions such as literature search, reading, knowledge storage, and writing. Users can quickly retrieve high-quality information sources, generate mind maps, record notes, store knowledge, use AI-assisted writing, support uploading reference files and switching between different models to complete answers, greatly improving knowledge management and creation efficiency.

Section 5: Tencent Survey: AI in Ten Minutes, Saving a Week of Research

• Course Introduction: Tencent Survey is based on Hunyuan large model and DeepSeek technology to create an AI full-process research solution that improves quality and efficiency. Based on AI-assisted questionnaire design, it automatically generates questionnaires according to research descriptions or materials, supports multiple generation methods and rich question types. The sample rapid collection function relies on the advantages of the sample library, with strict quality control, and efficient collection takes only three steps. The AI one-click report generation function quickly generates professional visualized reports, lowering the threshold for insights. Its one-stop research solution of "AI + sample data" has five major advantages, including professional agents, integration of multimodal materials, calibration of model errors, deep industry adaptation, and ensuring data security.
• Course Content：
  • AI Technology Deeply Integrated into Questionnaire Design: Based on Hunyuan large model and DeepSeek technology, users only need to provide a research description or related materials, and AI automatically generates questionnaires, supporting multiple generation methods (such as natural language, document upload, photo capture, etc.), covering a rich variety of question types and multi-scenario applications.
  • Efficient and accurate sample collection: Tencent Survey relies on a powerful sample library to achieve rapid collection of sample data.

• • One-click generation of professional visual reports: The AI one-click report generation feature of Tencent Survey is a highlight of the course. Based on AI technology, it quickly generates professional visual reports, supports multiple question types and complex data analysis, and greatly lowers the threshold for users to gain data insights.
  • Advantages of a one-stop research solution: Tencent Survey provides a one-stop research solution of 'AI + sample data', with five core advantages: professional Agent, integration of multimodal materials, calibration of model errors, deep industry adaptation, and ensuring data security.

Section 6: Tencent Hunyuan Large Model Multimodal Generation Technology and Application Exploration

• Course Introduction: Introduce Tencent Hunyuan large model's multimodal generation technology and applications. Hunyuan Image Generation is based on the model structure of MLLM and DIT, achieving high-quality image generation and performing excellently in handling Chinese elements and complex text. Hunyuan Video Generation supports users in generating videos based on descriptions, with multiple functions and applications. Looking ahead to 2025, Hunyuan will develop a multimodal unified neural network architecture to promote technological development.
• Course Content：
  • Core architecture of multimodal generation technology: Based on the model structure of MLLM and DIT, it promotes the transition from the Unet framework to the Transformer framework, improving the rationality and realistic texture of generated images.
  • Application scenarios and functional advantages: Hunyuan Image Generation and Video Generation are widely used in advertising, gaming, content creation and other fields, supporting multiple styles (such as Japanese anime, 3D rendering, etc.) and functions (such as lip sync and motion driving, background sound effects).

• • Generation platform and user experience: Provides platforms such as ComfyUI, WebUI, and Tencent Yuanbao to meet the needs of different users, supporting text-to-image, image style transfer, and precise image editing.
  • Future development and industry leadership: As the video model with the largest number of open-source parameters, it topped the HuggingFace hot list. In 2025, it will develop a multimodal unified architecture to promote technological development.

Section 7: Programming Journey from Zero! AI Development Practical Guide

• Course Introduction: Introduce the product advantages, usage tips, and Tencent's internal practical results of Tencent Cloud AI Code Assistant. Explain in detail how to experience AI Code Assistant in mainstream IDEs and Cloud Studio IDE, introduce the features and advantages of Cloud Studio as a cloud-based 'AI digital coding classroom', including ready-to-use resources, online IDE, fast loading, and provision of mainstream programming languages and AI model templates, helping developers improve development efficiency.
• Course Content：
  • ACore functions of I code assistant: Tencent Cloud AI Code Assistant boasts powerful code completion, generation, and repair capabilities, significantly improving coding efficiency. Through sidebar conversations, inline conversations, and shortcut commands, it helps developers quickly understand code logic, using RRAG technology and a knowledge base for precise information retrieval and question answering.

• • Usage Tips and Methods: The course provides a wealth of usage tips and methods to help developers better utilize the AI Code Assistant.
  • Multi-Scenario Experience Methods: Introduces two main experience methods: first, quickly accessing the AI Code Assistant in mainstream IDEs (such as VS Code, IntelliJ IDEA, etc.) via extension plugins; second, experiencing it in Tencent Cloud Cloud Studio IDE, which, based on the advantages of cloud resources and platform-managed computing power, provides developers with more choices.
  • Cloud Studio's Cloud Development Advantages: Tencent Cloud Cloud Studio has created a cloud-based "AI Digital Coding Classroom" that supports teaching and learning based on cloud resources and platform-managed computing power.

Hands-on Practice of the Tencent Hunyuan Large Model Application Practical Course

Based on tools such as Tencent Hunyuan, Tencent Yuanbao, and Tencent Survey, users practice in areas including multimodal generation and logical reasoning. Cloud Studio and the AI Code Assistant provide developers with convenient cloud development and programming support, making learning and applying AI technology more efficient and intuitive.

Target Audience of the Tencent Hunyuan Large Model Application Practical Course

• University Teachers and Students: Teachers are helped to integrate large model technology into teaching and research, improving teaching quality and research innovation capabilities. Students learn large model technology and master AI tool skills, laying a foundation for future career development and academic research.
• Researchers: Researchers engaged in fields such as artificial intelligence and machine learning can, based on the course, understand cutting-edge knowledge and application scenarios of large models and promote research progress.
• Enterprise Practitioners: People engaged in technical R&D, product design, data analysis, and other work can understand the application of large model technology in actual business, improving work efficiency and innovation capabilities.
• Developers and Engineers: Developers with a certain programming foundation can learn how to use large models to develop specific applications, such as intelligent assistants, content generation tools, etc., improving development capabilities.