What are Out-of-Vocabulary (OOV) Words? In Natural Language Processing (NLP), Out-of-Vocabulary (OOV) words refer to any words a machine learning model has not encountered during its training phase....
The Natural Language Processing (NLP) Blog
Text Representation: A Simple Explanation Of Complex Techniques
What is Text Representation? Text representation refers to how text data is structured and encoded so that machines can process and understand it. Human language is inherently complex, filled with...
Perplexity In NLP: Understand How To Evaluate LLMs [Practical Guide]
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...
The BERT Algorithm (NLP) Made Simple [Understand How Large Language Models (LLMs) Work]
What is BERT in the context of NLP? In Natural Language Processing (NLP), the quest for models genuinely understanding and generating human language has been a longstanding challenge. One...
Fact-Checking With Large Language Models (LLMs): Is It A Powerful NLP Verification Tool?
Can a Machine Tell a Lie? Picture this: you're scrolling through social media, bombarded by claims about the latest scientific breakthrough, political scandal, or celebrity gossip. Each post seems...
Top 10 Most Useful Natural Language Processing (NLP) Tools [Libraries & Frameworks] LLMs Included
What are Common Natural Language Processing (NLP) Tools? Natural Language Processing (NLP) tools are software components, libraries, or frameworks designed to facilitate the interaction between...
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...
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...
How To Guide To Chat-GPT, GPT-3 & GPT-4 Prompt Engineering [10 Types]
What is GPT prompt engineering? GPT prompt engineering is the process of crafting prompts to guide the behaviour of GPT language models, such as Chat-GPT, GPT-3, GPT-3.5-Turbo, and GPT-4. It...
How to manage Large Language Models (LLM) — Orchestration Made Simple [5 Frameworks]
What is LLM Orchestration? LLM orchestration is the process of managing and controlling large language models (LLMs) in a way that optimizes their performance and effectiveness. This includes tasks...
Knowledge Graph: How To Tutorial In Python, LLM Comparison & 23 Tools & Libraries
What is a Knowledge Graph? A Knowledge Graph is a structured representation of knowledge that incorporates entities, relationships, and attributes to create a network of interconnected...
How To Implement Intent Classification In NLP [7 ML & DL Models] With Python Example
What is Intent Classification In NLP? Intent classification is a fundamental concept in natural language processing (NLP) and plays a pivotal role in making machines understand and respond to human...
Arabic NLP — How To Overcome Challenges, Tutorials In Python & 9 Tools/Resources Including Large Language Models (LLMs)
Natural language processing (NLP) for Arabic text involves tokenization, stemming, lemmatization, part-of-speech tagging, and named entity recognition, among others. These tasks can be challenging...
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...
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...
One-shot Learning Explained, How It Works & How To Tutorial In Python
What is one-shot learning? One-shot learning is a machine learning paradigm that trains models to recognize new objects or patterns based on a single example or a minimal number of examples....
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...
Open Source Large Language Models (LLM) – Top 10 Most Powerful To Consider In 2024
What are open-source large language models? Open-source large language models, such as GPT-3.5, are advanced AI systems designed to understand and generate human-like text based on the patterns and...