Effective strategies to leverage Gemini in AI and productivity projects

30 Tem 10:45

I want to learn the best practices for integrating Gemini into AI workflows and improving productivity. What prompting techniques do you consider most robust for getting consistent responses? How do you manage context in long conversations without losing relevance? Also, I'm interested in knowing how you evaluate output quality and what metrics you use to measure improvement over other solutions. Any advice on prompt architecture, handling uncertainty, or model fine-tuning is welcome. How do you apply these in your projects?