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Key Components of Large Language Models (LLMs)
Deep Learning Natural Language Processing

Key Components of Large Language Models (LLMs)

Nikhil Tomar18th September 202418th September 2024
Large Language Models (LLMs) have become the backbone of modern Natural Language Processing (NLP), pushing the boundaries of tasks like text generation, summarization, machine translation, and question-answering. These models are...
Naive Bayes Classifier in Python
Machine Learning PyTorch

Naive Bayes Classifier in Python

Nikhil Tomar17th September 202417th September 2024
The article explores the Naive Bayes classifier, its workings, the underlying naive Bayes algorithm, and its application in machine learning. Through an intuitive example and Python implementation, the article demonstrates...
[Paper Summary] EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
Computer Vision Deep Learning

[Paper Summary] EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation

Nikhil Tomar14th September 202414th September 2024
This post will analyze the research paper "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation." We will discuss the problems with existing medical image segmentation methods and how...
A Brief History of Large Large Language Models (LLMs)
Deep Learning Natural Language Processing

A Brief History of Large Large Language Models (LLMs)

Nikhil Tomar14th September 202414th September 2024
Artificial intelligence (AI) has made remarkable progress in recent years, particularly in natural language processing (NLP). One of the most significant developments has been the rise of large language models...
What is a Large Language Model (LLM)?
Artificial Intelligence Natural Language Processing

What is a Large Language Model (LLM)?

Nikhil Tomar11th September 202411th September 2024
Large Language Models (LLMs) have revolutionized the field of artificial intelligence (AI) by enabling machines to understand and generate human language in a once unimaginable way. These powerful models, built...
What is Image Captioning?
Computer Vision Deep Learning

What is Image Captioning?

Nikhil Tomar29th August 2024
In recent years, the field of artificial intelligence (AI) has seen remarkable advancements, particularly in how machines can understand and describe visual content. One of the fascinating developments in this...
What is Dice Coefficient?
Deep Learning PyTorch TensorFlow

What is Dice Coefficient?

Nikhil Tomar28th August 202428th August 2024
This article will explore the Dice Coefficient (DSC), a metric commonly used to evaluate the similarity between two sets. We'll delve into its definition, provide implementations in NumPy, TensorFlow, and...
Read Video Files Using OpenCV Python
OpenCV Python

Read Video Files Using OpenCV Python

Nikhil Tomar25th August 202425th August 2024
Reading and processing video files is a common task in computer vision, and OpenCV makes it easy to work with video data. In this article, we'll go through the process...
Generative and Discriminative Models in Machine Learning
Deep Learning

Generative and Discriminative Models in Machine Learning

Nikhil Tomar17th August 202414th September 2024
Machine learning is a fascinating field that teaches computers to make decisions or predictions based on data. Two main types of models are commonly used: generative models and discriminative models....
Image Masking with OpenCV AddWeighted
Computer Vision OpenCV

Image Masking with OpenCV AddWeighted

Nikhil Tomar13th August 202415th August 2024
Image masking is a powerful technique used in image processing to manipulate specific parts of an image while leaving other areas untouched. This is particularly useful in applications like object...

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