I've been working with Large Language Models (LLMs) for a year now.
Creating apps for businesses ranging from SME's to Enterprises.
Here are 5 lessons I learned in 2023:
1. Quality data is still the key to success
2. Start with internally-facing applications (lower risk)
3. Transitioning from PoC to production is challenging
4. Implement LLM Operations (LLMOps) from day one
5. Be prepared to change your architecture every quarter
What's your biggest lesson from learning or working with AI this year?