GenAI Knowledge Hub
A comprehensive resource for modern AI practitioners, covering both the practical implementation of RAG systems and the theoretical foundations of data science. Whether you're building production AI systems or deepening your mathematical understanding, find the knowledge you need to excel.
RAG Implementation Hub
Complete journey from business objectives to production deployment of Retrieval-Augmented Generation systems. Explore real-world implementation details, engineering decisions, performance optimizations, and best practices for building scalable RAG applications.
Topics Covered
Data Science Foundations
Essential mathematical and statistical foundations for modern data science and machine learning. Deep dive into the theoretical underpinnings of LLMs, traditional ML algorithms, probability theory, and advanced optimization techniques with comprehensive proofs and implementations.
Topics Covered
Why This Knowledge Hub?
Practical Implementation
Real-world code examples, architecture decisions, and production-ready solutions.
Mathematical Rigor
Deep theoretical foundations with proofs, derivations, and mathematical insights.
Cutting-Edge Knowledge
Latest developments in AI/ML with insights from hands-on experience.