Categories: AI/ML Research

Generating and Visualizing Context Vectors in Transformers

This post is divided into three parts; they are: • Understanding Context Vectors • Visualizing Context Vectors from Different Layers • Visualizing Attention Patterns Unlike traditional word embeddings (such as Word2Vec or GloVe), which assign a fixed vector to each word regardless of context, transformer models generate dynamic representations that depend on surrounding words.

Applications with Context Vectors

This post is divided into two parts; they are: • Contextual Keyword Extraction • Contextual Text Summarization Contextual keyword extraction is a technique for identifying the most important words in a document based on their contextual relevance.

April 17, 2025

In "AI/ML Research"

Further Applications with Context Vectors

This post is divided into three parts; they are: • Building a Semantic Search Engine • Document Clustering • Document Classification If you want to find a specific document within a collection, you might use a simple keyword search.

April 19, 2025

In "AI/ML Research"

From Data to Map: Visualizing Ames House Prices with Python

Geospatial visualization has become an essential tool for understanding and representing data in a geographical context. It plays a pivotal role in various real-world applications, from urban planning and environmental studies to real estate and transportation. For instance, city planners might use geospatial data to optimize public transportation routes, while…

January 30, 2024

In "AI/ML Research"

AI Generated Robotic Content