What is Cognitive Computing? The term "cognitive computing" has become increasingly prominent in today's rapidly evolving technological landscape. As our society generates and processes vast amounts...
The Natural Language Processing (NLP) Blog
Topic: Artificial Intelligence
Multilayer Perceptron Explained And How To Train & Optimise MLPs
What is a Multilayer perceptron (MLP)? In artificial intelligence and machine learning, the Multilayer Perceptron (MLP) stands as one of the foundational architectures, wielding remarkable...
Learning Rate In Machine Learning And Deep Learning Made Simple
Machine learning algorithms are at the core of many modern technological advancements, powering everything from recommendation systems to autonomous vehicles. Optimisation is central to the...
![Bayesian Network Made Simple [How It Is Used In Artificial Intelligence & Machine Learning]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/02/bayesian-netowork-node-edges.jpg?fit=1920%2C1080&ssl=1)
Bayesian Network Made Simple [How It Is Used In Artificial Intelligence & Machine Learning]
What is a Bayesian Network? Bayesian network, also known as belief networks or Bayes nets, are probabilistic graphical models representing random variables and their conditional dependencies via a...
![Knowledge Graph Reasoning Made Simple [3 Technical Methods & How To Handle Uncertanty]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/02/query2vec.jpg?fit=1200%2C675&ssl=1)
Knowledge Graph Reasoning Made Simple [3 Technical Methods & How To Handle Uncertanty]
What is Knowledge Graph Reasoning? Knowledge Graph Reasoning refers to drawing logical inferences, making deductions, and uncovering implicit information within a knowledge graph. A knowledge graph...
![Conversational AI Explained: Top 9 Tools & How To Guide [Including GPT]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/key-components-of-conversational-ai.jpg?fit=1440%2C810&ssl=1)
Conversational AI Explained: Top 9 Tools & How To Guide [Including GPT]
What is Conversational AI? Conversational AI, short for Conversational Artificial Intelligence, refers to using artificial intelligence and natural language processing (NLP) technologies to enable...
Knowledge Representation And Reasoning In Artificial Intelligence (AI) Made Simple
What is Knowledge Representation and Reasoning (KRR)? Knowledge Representation and Reasoning (KRR) are fundamental concepts in artificial intelligence (AI) that focus on how intelligent systems can...
Explainable AI Made Simple: 5 Techniques, Tools & How To Tutorials
What is Explainable AI? In today's data-driven world, artificial intelligence (AI) has revolutionised various aspects of our lives, from healthcare diagnostics to financial risk assessment. However,...
LLMOps: What Is It and How To Implement Best Practices
What is LLMOps? The world of artificial intelligence (AI) is constantly evolving, with new advancements emerging at an unprecedented pace. The rise of large language models (LLMs) is among the most...
Variational Autoencoders (VAEs) Made Simple & How To TensorFlow Tutorial
What are Variational Autoencoders (VAEs)? Autoencoders are ingenious, unsupervised learning mechanisms capable of learning efficient data representations. However, traditional autoencoders often...
Embeddings from Language Models (ELMo): Contextual Embeddings A Powerful Shift In NLP
What are Embeddings from Language Models (ELMo)? ELMo, short for Embeddings from Language Models, revolutionized the landscape of NLP by introducing contextual embeddings, a paradigm shift from...
Data2vec Explained: The Fusion Of Text, Image & Audio To Create Powerful AI Systems
What is Data2vec? Meta AI has introduced Data2vec, a groundbreaking framework for self-supervised learning that transcends the barriers between different data modalities. Data2vec proposes a unified...
Multimodal Natural Language Processing (NLP): The Next Powerful Shift In AI
What is Multimodal NLP? Multimodal NLP refers to the intersection of natural language processing (NLP) with other data or modalities, such as images, videos, audio, and sensor data. Traditional NLP...
![Self-Supervised Learning Made Simple [How To Train Powerful ML Models]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/12/pretext-tasks.jpg?fit=1200%2C675&ssl=1)
Self-Supervised Learning Made Simple [How To Train Powerful ML Models]
What is Self-Supervised Learning? Self-supervised learning (SSL) is a machine learning technique where a model learns representations or features directly from the input data without explicit...
Prototypical Networks Explained, Compared To Other Networks & How To Tutorial In PyTorch
What is a Prototypical Network? At its core, Prototypical Networks represent a groundbreaking approach to tackling the complexities of classification problems, especially in scenarios where labelled...
![Exploding Gradient Explained: How To Detect & Overcome It [6 Best Practices]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/12/exploding-gradient.jpg?fit=1200%2C675&ssl=1)
Exploding Gradient Explained: How To Detect & Overcome It [6 Best Practices]
What is the Exploding Gradient Problem? Neural networks optimize their parameters using gradient-based optimization algorithms like gradient descent. Gradients represent the slope of the loss...
Q-Learning in Reinforcement Learning Made Simple
What is Q-learning in Machine Learning? In machine learning, Q-learning is a foundational reinforcement learning technique for decision-making in uncertain environments. Unlike supervised learning,...
![Generative Artificial Intelligence (AI) Made Simple [Complete Guide With Models & Examples]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/dalle-generated-ai-image.jpg?fit=1200%2C675&ssl=1)
Generative Artificial Intelligence (AI) Made Simple [Complete Guide With Models & Examples]
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...
