How to get started learning modern AI?
Analysis
The article poses a question about the best way to learn modern AI, specifically focusing on the shift towards neural networks and transformer-based technology. It highlights a preference for rule-based, symbolic processing but acknowledges the dominance of neural networks. The core issue is navigating the learning path, considering the established basics versus the newer, popular technologies.
Key Takeaways
- •The article questions the best approach to learning modern AI, considering both traditional and cutting-edge methods.
- •It reflects a common sentiment of skepticism towards the 'black box' nature of neural networks.
- •The core dilemma is whether to start with the fundamentals or jump directly into transformer-based technology.
Reference
“Neural networks! Bah! If I wanted a black box design that I don't understand, I would make one! I want rules and symbolic processing that offers repeatable results and expected outcomes!”