Three Years Trying to Make AI Useful for my Actual Job, I Was Solving the Wrong Problem.
📰 Hackernoon
Building a structured knowledge base is key to making AI useful, not just the AI model itself
Action Steps
- Build a structured knowledge base using tools like Obsidian
- Integrate an agent layer into the knowledge base
- Develop a data capture system, such as a transcription app, to feed the knowledge base
- Focus on creating a high-quality knowledge layer as the core product, with AI as an enhancement
Who Needs to Know This
Data scientists, AI engineers, and product managers can benefit from this insight as it highlights the importance of data quality and knowledge base structure in AI applications, enabling them to create more effective AI systems
Key Insight
💡 A well-structured knowledge base is essential for making AI useful
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🤖 AI's usefulness depends on what you feed it, not just the model itself! 📚
DeepCamp AI