I am a Civil Engineering Graduate (2022) from Jamia Millia Islamia, New Delhi, and I have a keen interest in Data Science, especially Neural Networks and their application in various areas.
Most developers treat prompting as an afterthought—write something reasonable, observe the output, and iterate if needed. That approach works until reliability becomes critical. As...
Retrieval is where most RAG systems quietly break. Traditional pipelines rely on vector similarity—embedding queries and document chunks into the same space and fetching...
Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over...
Table of contentsPre-TrainingSupervised FinetuningLoRAQLoRARLHFReasoning (GRPO)Deployment
Training a modern large language model (LLM) is not a single step but a carefully orchestrated pipeline that transforms raw...
Complex prediction problems often lead to ensembles because combining multiple models improves accuracy by reducing variance and capturing diverse patterns. However, these ensembles are...
Modern AI is no longer powered by a single type of processor—it runs on a diverse ecosystem of specialized compute architectures, each making deliberate...
A deep neural network can be understood as a geometric system, where each layer reshapes the input space to form increasingly complex decision boundaries....
