What is Anomaly Detection in LLMs? Anomaly detection in the context of Large Language Models (LLMs) involves identifying outputs, patterns, or behaviours that deviate significantly from what is...
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What is Anomaly Detection in LLMs? Anomaly detection in the context of Large Language Models (LLMs) involves identifying outputs, patterns, or behaviours that deviate significantly from what is...
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....
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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....
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...
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