š Iām Building Real AI Engineering Systems ā Not Just AI Apps
The tech industry's current obsession with AI apps as a quick fix has led to a lack of genuine innovation in the field. Behind the curtain of flashy interfaces and simplistic interfaces lies a dearth of meaningful AI engineering. This developer's call to action signals a shift towards more sophisticated, in-house AI development that can tackle complex problems, rather than relying on off-the-shelf solutions.
As AI engineering systems become more prominent, we'll see increased competition in the market for skilled developers and engineers who can design and implement these complex systems. This movement could also lead to a resurgence in the development of open-source AI tools and platforms, enabling more diverse and innovative solutions to emerge.
About the Source
This analysis is based on reporting by Dev.to Python. Here is a short excerpt for context:
Most AI projects I see today are simple wrappers around APIs. You call an LLM ā get a response ā...Read the original at Dev.to Python
