Daily Dose of Data Science
Every week, we share practical no-fluff deep dives on topics that truly matter to your skills for succeeding and staying relevant in ML & DS roles.
Agentic Systems 101: Fundamentals, Building Blocks, and How to Build Them (Part B)
AI Agents Crash Course—Part 2 (with implementation).
Agentic Systems 101: Fundamentals, Building Blocks, and How to Build Them (Part A)
AI Agents Crash Course—Part 1 (with implementation).
16 Techniques to Supercharge and Build Real-world RAG Systems—Part 2
A comprehensive guide with practical tips on building robust RAG solutions.
16 Techniques to Supercharge and Build Real-world RAG Systems—Part 1
A comprehensive guide with practical tips on building robust RAG solutions.
Implementing DoRA (an Improved LoRA) from Scratch
A powerful LoRA-variant explained in a beginner-friendly way and implemented in PyTorch.
A Practical Guide to Integrate Evaluation and Observability into LLM Apps
A comprehensive guide to Opik, an open-source LLM evaluation and observability framework.
A Crash Course on Building RAG Systems – Part 9 (With Implementation)
A deep dive into ColPali for building vision-driven RAG systems (with implementation).
