#AI product development
5 related articles
·2 min
The "Magic Fatigue" Effect in AI Products: The Hidden Challenge of User Expectation Management
Exploring the "Magic Fatigue" effect in AI products: why users feel AI is getting dumber, how to distinguish real degradation from rising expectations, and strategies for managing user expectations.
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Industry Insights·2 min
AI Product Development in Practice: Model Selection, Building Moats, and Paths to Commercialization
Practical strategies for AI product development: why not to train models from scratch, when to use APIs vs. fine-tuning, building product moats, and the full path from evaluation systems to commercialization.
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Tutorials·3 min
The Vibe Coding 6-Step Method: A Complete Process for Building Real Products with AI and Zero Coding Experience
A detailed guide to the Vibe Coding 6-Step Method: from requirements alignment and high-fidelity prototyping to technical planning, modular implementation, testing, and launch — helping non-coders build real products with AI.
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Industry Insights·2 min
Sam Altman's Three AGI Visions: From Scientific Breakthroughs to Personal AI Assistants
Sam Altman shares OpenAI's three strategic directions: AGI accelerating research, partnering with YC to empower startups, and building personal AGI assistants. A deep analysis of OpenAI's complete AGI deployment path.
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Tutorials·3 min
LangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
Deep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.
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