Introduction to Perplexity in NLP In the rapidly evolving field of Natural Language Processing (NLP), evaluating the effectiveness of language models is crucial. One of the key metrics used for this...
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The Natural Language Processing (NLP) Blog
Topic: Generative AI
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...
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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...
Autoregressive (AR) Models Made Simple For Predictions & Deep Learning
What Are Autoregressive (AR) Models? Autoregressive (AR) models are statistical and time series models used to analyze and forecast data points based on their previous values. These models are...
Generative Models Made Simple: Understand How They Work & Different Types
What are Generative Models? In the ever-evolving landscape of artificial intelligence, generative models have emerged as one of AI technology's most captivating and creative facets. These models are...
Retrieval-Augmented Generation (RAG) Made Simple & 2 How To Tutorials
What is Retrieval-Augmented Generation (RAG)? Retrieval-augmented generation (RAG) is a natural language processing (NLP) technique that combines information retrieval capabilities with text...
Mode Collapse In GANs Explained, How To Detect It & Practical Solutions
What is mode collapse in Generative Adversarial Networks (GANs)? Mode collapse is a common issue in generative models, particularly in the context of generative adversarial networks (GANs) and some...
Natural Language Generation Explained & 2 How To Tutorials In Python
What is natural language generation? Natural Language Generation (NLG) is a subfield of artificial intelligence (AI) and natural language processing (NLP) that focuses on the automatic generation of...
Understanding Generative Adversarial Network With A How To Tutorial In TensorFlow And Python
What is a Generative Adversarial Network (GAN)? What are they used for? How do they work? And what different types are there? This article includes a tutorial on how to get started with GANs in...
Autoencoder Made Easy — Variations, Applications, Tutorial in Python With TensorFlow
Autoencoder variations explained, common applications and their use in NLP, how to use them for anomaly detection and Python implementation in TensorFlow What is an autoencoder? An autoencoder is a...
Restricted Boltzmann Machines Explained & How To Tutorial In Python
How are RBMs used in deep learning? Examples, applications and how it is used in collaborative filtering. With a step-by-step tutorial in Python. What are Restricted Boltzmann Machines? Restricted...
Text Generation NLP – Everything You Need To Know / Python Code To Get Started
What is text generation in NLP? Text generation is a subfield of natural language processing (NLP) that deals with generating text automatically. It has a wide range of applications, including...
