Ajitesh Kumar

Pre-trained Models Explained with Examples

NLP has been around for decades, but it has recently seen an explosion in popularity due to pre-trained models (PTMs),…

12 months ago

BERT vs GPT Models: Differences, Examples

Have you been wondering what sets apart two of the most prominent transformer-based machine learning models in the field of…

12 months ago

NLP Corpus Types (Text & Multimodal): Examples

At the heart of NLP lies a fundamental element: the corpus. A corpus, in NLP, is not just a collection…

12 months ago

Demystifying Encoder Decoder Architecture & Neural Network

In the field of AI / machine learning, the encoder-decoder architecture is a widely-used framework for developing neural networks that…

12 months ago

Attention Mechanism Workflow & Transformer: Examples

The attention mechanism workflow in the context of transformers in NLP, is a process that enables the model to dynamically…

12 months ago

ChatGPT Prompts Best Practices: Examples

In this blog, you will learn the best practices you can adopt when writing prompts for ChatGPT. Here is the…

1 year ago

NLP: Different Types of Language Models – Examples

Have you ever wondered how your smartphone seems to know exactly what you're going to type next? Or how virtual…

1 year ago

Bag of Words in NLP & Machine Learning: Examples

Last updated: 6th Jan, 2024 Most machine learning algorithms require numerical input for training the models. Bag of words (BoW)…

1 year ago

Innovative Thinking: Methods & Examples

Innovative thinking is a multifaceted approach that leverages different styles of thinking to tackle problems and generate groundbreaking solutions. It…

1 year ago

Natural Language Processing (NLP) Task Examples

Last updated: 5th Jan, 2024 Have you ever wondered how your phone's voice assistant understands your commands and responds appropriately?…

1 year ago

Cohen Kappa Score Explained: Formula, Example

Last updated: 5th Jan, 2024 Cohen's Kappa Score is a statistic used to measure the performance of machine learning classification…

1 year ago

Validation Techniques for Machine Learning Models: Examples

Last updated: 4th Jan, 2024 In the realm of machine learning, the emphasis increasingly shifts towards solving real-world problems with…

1 year ago

Machine Learning Definition, Examples, Method, Types

Last updated: 3rd Jan, 2024 Machine learning is a machine's ability to learn from data. It has been around for…

1 year ago

Machine Learning Models Solution Design: Examples

This blog is crafted for data scientists, machine learning (ML) and software engineers, business analysts / product managers, and anyone…

1 year ago

Micro-average, Macro-average, Weighting: Precision, Recall, F1-Score

Last updated: 30th Dec, 2023 In this post, you will learn about how to use micro-averaging and macro-averaging methods for evaluating scoring metrics (precision,…

1 year ago

Mean Squared Error or R-Squared – Which one to use?

Last updated: 29th Dec, 2023 As you embark on your journey to understand and evaluate the performance of regression models,…

1 year ago