NLP

Low vs High Entropy Entropy is a powerful and fundamental concept that quietly drives some of the most effective algorithms in machine learning. From decision trees to deep neural networks, entropy plays a central role in helping models navigate uncertainty and make better predictions.

Understanding FlashAttention: Inner vs Outer Loop Optimization FlashAttention is a groundbreaking optimization technique for computing attention in Transformer models. It drastically improves performance by reducing memory bottlenecks and utilizing GPU memory more efficiently.

Adversarial Attacks on Large Language Models (LLMs) Adversarial attacks on large language models (LLMs) involve manipulating inputs to deceive the model into generating harmful, biased, or incorrect outputs. These attacks exploit the vulnerabilities of LLMs, which rely on patterns in training data to generate responses.

1. What is Named Entity Recognition (NER)? Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP) that involves identifying and classifying spans of text that refer to real-world entities such as:

The purpose of this post is just to understand the key difference between two types of well-known normalization techniques.