Mastering RNN Sequence Modeling: From Theory to Production
February 11, 2026
A comprehensive deep dive into Recurrent Neural Networks (RNNs) for sequence modeling — covering theory, implementation, pitfalls, performance, and real-world applications.
#ai-engineering
AI Career Roadmap 2026: Skills, Tools & Real-World Pathways
February 6, 2026
A complete 2026 roadmap for building a successful AI career — from foundational skills to real-world applications, tools, and growth strategies.
Mastering Context Window Optimization for LLMs
February 6, 2026
Learn how to optimize context windows for large language models — from token efficiency and retrieval strategies to production scalability and monitoring.
LLM Fundamentals Guide: From Tokens to Transformations
January 27, 2026
A deep yet approachable guide to understanding Large Language Models (LLMs) — how they work, when to use them, and how to build reliable, scalable, and secure applications around them.
MLOps Fundamentals Guide: From Model to Production
January 1, 2026
A detailed, hands-on guide to understanding MLOps fundamentals — from model training and deployment to monitoring, automation, and scaling in production environments.
Mastering Fine-Tuning of Large Language Models: From Basics to Advanced Techniques
September 23, 2025
Dive deep into the world of fine-tuning large language models with Tata Vasneyan of Lunar Tech. Learn the practical applications and methodologies that transform AI capabilities.