Best ChatGPT prompts for Computer and Information Research Scientists

Given a cloud-based application with 500 users, 10 instances of EC2, and 5 RDS databases, using AWS CloudWatch metrics, determine the optimal resource allocation to minimize latency and reduce costs by 15%, considering the application's usage patterns and traffic forecasts for the next quarter. Provide a detailed breakdown of the proposed changes, including instance types, database configurations, and auto-scaling policies.

Analyze the logs and metrics from a recent 2-hour system downtime, which occurred due to a failed database connection, and identify the root cause of the issue. Consider the system's architecture, network topology, and recent changes to the codebase. Provide a step-by-step explanation of the events leading up to the failure, and recommend corrective actions to prevent similar incidents in the future, including updates to the system's monitoring and alerting configuration.

Compare the performance of three different machine learning models (Random Forest, Gradient Boosting, and Neural Networks) on a dataset of 100,000 samples, using metrics such as accuracy, precision, recall, and F1-score. Analyze the results and provide recommendations for model selection, hyperparameter tuning, and potential improvements to the training data, considering the computational resources and time constraints of the project.

Design a scalable architecture for real-time data processing, handling 10,000 events per second, using a combination of Apache Kafka, Apache Storm, and Apache Cassandra. Provide a detailed description of the components, including data ingestion, processing, and storage, as well as the communication protocols and data formats used between them. Consider the trade-offs between latency, throughput, and resource utilization, and recommend a deployment strategy on a cloud-based infrastructure.