Computer Vision
Understanding the state-of-the-art approaches for computer vision.
Blogs
Miniseries / Collections
Agentic AI Workflows
Exploring agentic AI systems and workflows through practical implementations with both open-source and closed-source APIs.
The Efficiency Frontier: AI Cost, Architecture & Optimization
A comprehensive deep dive into **Model Efficiency** across the entire AI lifecycle. Explore strategic architectural choices (MoE, SSMs), training accelerants (PEFT, Mixed Precision), and deployment optimization methods (Quantization, Pruning, Compilers) to build and operate state-of-the-art models with practical computational and memory footprints.
Cloud Engineering - GCP
Understanding the architectural patterns, services, and offerings of Google Cloud Platform (GCP) plus the implementation and deployment of the services for building modern cloud native applications.
Computational Drug Discovery Fundamentals Overview
An overview of the main steps and their elaboration for getting to know how computational drug discovery works in 2025.
Large Language Models (LLMs)
Deep dives into transformer architectures, attention mechanisms, and optimization techniques that power modern large language models.
Causal Inference & Causal AI
Understanding cause and effect relationships in data science, from philosophical foundations to practical applications in AI and decision-making.