What is Generative Artificial Intelligence (AI)? Generative artificial intelligence (GAI) is a type of AI that can create new and original content, such as text, music, images, and videos. It is...
The Natural Language Processing (NLP) Blog
Pre-Trained Models Complete Guide [How To & 21 Top Models In PyTorch, TensorFlow & HuggingFace]
Understanding Pre-Trained Models Pre-trained models have become a game-changer in artificial intelligence and machine learning. They offer a shortcut to developing highly capable models for various...
Teacher Forcing In Recurrent Neural Networks (RNNs): An Advanced Concept Made Simple
What is teacher forcing? Teacher forcing is a training technique commonly used in machine learning, particularly in sequence-to-sequence models like Recurrent Neural Networks (RNNs) and...
Continual Learning Made Simple, How To Get Started & Top 4 Models
The need for continual learning In the ever-evolving landscape of machine learning and artificial intelligence, the ability to adapt and learn continuously (continual learning) has become...
How To Implement Cross-lingual Transfer Learning In 5 Different Ways
What is cross-lingual transfer learning? Cross-lingual transfer learning is a machine learning technique that involves transferring knowledge or models from one language to another, typically to...
Understanding Meta-Learning — How To Be More Effective With Less Data
What is meta-learning? Meta-learning, or learning to learn, is a machine learning approach that focuses on improving the learning process rather than just learning a specific task or problem....
Deep Dive into Active Learning in Machine Learning [How To In Python & PyTorch]
What is active learning in machine learning? Active learning is a machine learning technique that involves iteratively selecting and labelling the most informative examples from an unlabeled dataset...
Zero-shot Classification [Top 6 Models, How To Tutorial In Python & Alternatives]
What is zero-shot classification? Zero-shot classification is a machine learning approach in which a model can classify data into multiple classes without any specific training examples for those...
Regression Vs Classification — Understand How To Choose And Switch Between Them
Classification vs regression are two of the most common types of machine learning problems. Classification involves predicting a categorical outcome, such as whether an email is spam or not, while...
Feedforward Neural Networks Made Simple With Different Types Explained
How does a feedforward neural network work? What are the different variations? With a detailed explanation of a single-layer feedforward network and a multi-layer feedforward network. What is a...
Reinforcement Learning In NLP Made Simple & 5 Relevant Tools To Get Started
This article covers reinforcement learning and its application in natural language processing (NLP). It also covered the latest developments in the field, a discussion on whether you should start...
How To Implement A Self-Learning System That Improves Over Time
What is a self-learning system? A self-learning system is a type of artificial intelligence (AI) system that is able to improve its performance over time. In essence, it can do this without the need...