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TextGrad is revolutionizing AI optimization by automating system refinement using natural language feedback. AI systems now rely on multiple large language models (LLMs) and external tools for complex tasks. Traditionally,...

Computer Vision Deep Learning PyTorch

GradCAM and its Implementation in PyTorch

Nikhil Tomar1st March 20251st March 2025

Deep learning models, especially convolutional neural networks (CNNs), often function as black boxes, making it difficult to interpret their decision-making processes. Gradient-weighted Class Activation Mapping (GradCAM) is a powerful technique...

Blog TensorFlow

GradCAM with TensorFlow: Interpreting Neural Networks with Class Activation Maps

Nikhil Tomar26th February 2025

Deep learning models, particularly convolutional neural networks (CNNs), are widely used for image classification, object detection, and various computer vision tasks. However, these models are often referred to as "black...

Computer Vision Deep Learning Natural Language Processing TensorFlow

Visual Question Answering from Scratch using TensorFlow

Nikhil Tomar15th January 202515th January 2025

Visual Question Answering (VQA) is a fascinating field in artificial intelligence where a system answers questions about an image. This combines natural language processing (NLP) to understand the question and...

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...

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...

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...

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...

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...

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...