DeepSeek+提示词设计_幻觉避免与应用-大数据百家讲坛-厦门大学数据库实验室20250304_56页_4mb
报告摘要
Summary of DeepSeek Prompt Design Lecture and AI Applications
Event Overview
- Theme: AI resources and prompt design focusing on DeepSeek models, avoiding hallucinations, and AI application techniques.
- Host: Xiamen University Database Lab.
- Keynote Speaker: Cheng Xiji, a software and AI expert with experience in AI product development and author of "Learn to Ask, Master AI: Prompting from Basics to Mastery."
Core Content Summary
Prompt Design Frameworks
- Framework elements: Task (specific goal), Action (steps to complete the task), Goal (desired outcome).
- Additional structures like SPAR (Scenario, Problem, Action, Result) and 5W1H (Why, What, When, Where, Who, How) for clearer prompts.
- Examples include writing Xiaohongshu fashion posts or general AI queries, emphasizing simplicity and precision in defining tasks.
AI Models and Their Differences
- DeepSeek models contrasted:
- DeepSeek-R1: Inference-focused, slow with explanations, suitable for logical tasks like math or coding. Requires cautious prompts with context and structure.
- DeepSeek-V3: Non-inference, fast and intuitive, good for quick responses. Uses student-like thinking; avoid over-explaining.
- Other models mentioned: GPT-4, Claude, Kimi.
- AGI vs narrow AI: AGI aims for general intelligence; currently, AI is specialized.
Avoiding AI Hallucinations
- Definitions of hallucinations:
- Fact hallucination: AI makes false factual claims.
- Faithfulness hallucination: AI deviates from user instructions.
- Solutions:
- Prompt-based: Limit knowledge sources (e.g., cite specific texts), specify time ranges, or require uncertainty labels.
- Framework-based: Use RAG (Retrieval-Augmented Generation) for real-time knowledge, refine training parameters.
AI Tools and Application Tips
- Various tools: Text-to-speech, image generation (Midjourney, Stable Diffusion), video editing, PPT creation, dress-up features.
- Framework for tool integration: Define task, actions, and goal for tasks like seasonal fashion posts on social media.
- AI utility in scenarios: Work documents, education, business decision-making, personal projects.
Community and Additional Tips
- Speaker's book: "Learn to Ask, Master AI" for in-depth prompting guidance.
- Call to action: Join Cheng Ge's AI Growth Circle for updates, resources, and interactive learning.
- General advice: Use Markdown for structured prompts, adjust AI response parameters to reduce hallucinations, and balance human-like inputs with clarity.
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