As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of...

HuyenChip's platform is a resource for technology enthusiasts and hardware engineers, offering insights into computer hardware architecture, electronic components, and embedded systems design. Through articles, tutorials, and technical discussions, HuyenChip offers insights into microcontroller programming, circuit design, and PCB layout techniques. Readers can learn about hardware hacking, DIY electronics projects, and hardware troubleshooting to explore their interests in hardware engineering and electronics tinkering.

Chip Huyen

Common pitfalls in building generative AI applications include using AI unnecessarily, confusing poor product design with bad AI, starting with overly complex solutions, overestimating early success, relying solely on AI for evaluation, and lacking a strategy for use case selection. Focus on practical applications, user experience, validated evaluation methods, and strategic planning to avoid these errors.

Common pitfalls when building generative AI applications

1. Use generative AI when you don't need generative AI