A Crash Course on Building RAG Systems – Part 2 (With Implementation)
A deep dive into evaluating RAG systems (with implementations).
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.
A Crash Course on Building RAG Systems – Part 1 (With Implementation)
A practical and beginner-friendly crash course on building RAG apps (with implementations).
AugSBERT: Bi-encoders + Cross-encoders for Sentence Pair Similarity Scoring – Part 2
A deep dive into extensions of cross-encoders and bi-encoders for sentence pair similarity.
Bi-encoders and Cross-encoders for Sentence Pair Similarity Scoring – Part 1
A deep dive into why BERT isn't effective for sentence similarity and advancements that shaped this task forever.
A Crash Course on Model Interpretability – Part 3
A deep dive into interpretability methods, why they matter, along with their intuition, considerations, how to avoid being misled, and code.
A Crash Course on Model Interpretability – Part 2
A deep dive into interpretability methods, why they matter, along with their intuition, considerations, how to avoid being misled, and code.
A Crash Course on Model Interpretability – Part 1
A deep dive into PDPs and ICE plots, along with their intuition, considerations, how to avoid being misled, and code.
15 Ways to Optimize Neural Network Training (With Implementation)
Techniques that help you become a "machine learning engineer" from a "machine learning model developer."
