C4: Container, Code, Cloud & Context
Designing intelligent systems, one layer at a time. ~ Nithin Mohan T K
Introduction Welcome to a fascinating journey into the world of AI innovation! Today, we delve into the realm of Retrieval-Augmented Generation (RAG) – a cutting-edge technique revolutionizing the way AI systems interact with external knowledge. Imagine a world where artificial intelligence not only generates text but also taps into vast repositories of information to deliver […]
Read more →Real-world enterprise ML implementations in healthcare diagnostics and financial fraud detection. Explore RAG and LLM integration patterns, ML maturity frameworks, and strategic recommendations for building ML-enabled organizations.
Read more →Master MLOps practices for production machine learning systems. Learn data versioning, experiment tracking with MLflow, CI/CD for ML, model registry governance, and monitoring strategies for AWS, Azure, and GCP.
Read more →The journey from experimental machine learning models to production-ready AI systems represents one of the most challenging transitions in modern software engineering. Having spent over two decades architecting enterprise solutions, I’ve witnessed the evolution from manual model deployment to sophisticated MLOps platforms. Azure Machine Learning stands at the forefront of this transformation, offering a comprehensive […]
Read more →Compare Python’s leading ML frameworks for enterprise deployments. Learn when to use Scikit-learn for classical ML, TensorFlow for production deep learning, and PyTorch for research flexibility with production-ready code examples.
Read more →The convergence of data engineering, data science, and machine learning has created unprecedented demand for unified analytics platforms that can handle diverse workloads without the complexity of managing multiple disconnected systems. Azure Databricks represents a compelling answer to this challenge—a collaborative Apache Spark-based analytics platform optimized for the Microsoft Azure cloud. Having architected data platforms […]
Read more →