Accelerated NLP Pipeline with NVIDIA & Databricks
This guide covers the full NLP workflow – from data ingestion to model deployment – with a focus on GPU acceleration and scalable best practices....
AIA collection of 5 posts
Intelligent learning systems
Notes on Ultrascale Playbook
Nanotron’s UltraScale Playbook highlights the experience of building large models with constrained resources. Their goal was: train performant LLMs from scratch at the billion-parameter scale and document the entire journey....
Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is an architectural approach that improves the accuracy and reliability of LLM applications by grounding their outputs on external data....
The Learning Curve Theory
Whether it's about onboarding a new developer, optimizing a model, or evaluating team velocity over time, the learning curve helps visualize and quantify improvement....
Universal Approximation: How Neural Nets Learn
In the world of ml few ideas are as quietly revolutionary—as the Universal Approximation Theorem. It’s a sort of mathematical guarantee that forms the foundation of why neural networks work at all....