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4 articles with this tag.

From Words to Intelligence: Building an MLP Classifier on Pretrained Sentence Embeddings

intermediateDeep Learning

From Words to Intelligence: Building an MLP Classifier on Pretrained Sentence Embeddings

A deep dive into pretrained sentence embeddings, MLP architecture, BatchNorm, Dropout, Adam, and early stopping — with full PyTorch implementation.

April 20, 202625 min read
#pytorch#nlp#deep-learning

TF-IDF + Logistic Regression: The Classical ML Baseline You Should Try First

intermediateMachine Learning Basics

TF-IDF + Logistic Regression: The Classical ML Baseline You Should Try First

Before reaching for LLMs or neural networks for text classification, try the boring thing. Here's how TF-IDF + Logistic Regression works, why it's often embarrassingly competitive, and where it breaks.

April 19, 202610 min read
#tf-idf#logistic-regression#sklearn

Chunking in RAG — Breaking Text the Right Way

intermediateRAG Engineering

Chunking in RAG — Breaking Text the Right Way

Guide to text chunking strategies, why they matter, and how to pick the right one for your RAG project.

April 12, 202610 min read
#rag#chunking#embeddings

Understanding Transformers: The Architecture Behind Modern AI

intermediateDeep Learning

Understanding Transformers: The Architecture Behind Modern AI

A comprehensive guide to understanding the Transformer architecture that powers GPT, BERT, and other modern language models.

April 12, 202612 min read
#transformers#deep-learning#nlp
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