Hiring team said - These are the questions for Sr. Solution Architects. Check from candidates
Best practices which you applied while building GenAI Apps
Tell us about Tokens Reduction mechanism
GenAI in Healthcare - use cases
Challenges faced during integration with omni channel apps with GenAI
How do you detect Anomaly in patient details
How do you secure GenAI Apps
How do you handle AI Bias in Healthcare
Different Deployment Models adopted in your projects
How do you decide on picking the right vector database
Tells us about your experience in testing GenAI models in CPU to GPU
Steps to achieve unsupervised learning model
GenAI Gateway reference APIM
Conversational AI - ASR, TTS, and building Sentimental Analytics
AI Limitations in Healthcare industries
Image recognition with GenAI
What architecture would you propose for securely fine-tuning large language models on confidential enterprise data while ensuring privacy and data protection?
How would you design a continuous training pipeline for a Gen AI model that can integrate new data while preserving its performance on current tasks?