What are GloVe Embeddings? GloVe, or Global Vectors for Word Representation, is an unsupervised learning algorithm that obtains vector word representations by analyzing the co-occurrence statistics...

What are GloVe Embeddings? GloVe, or Global Vectors for Word Representation, is an unsupervised learning algorithm that obtains vector word representations by analyzing the co-occurrence statistics...
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 Feature Extraction in Machine Learning? Feature extraction is a fundamental concept in data analysis and machine learning, serving as a crucial step in the process of transforming raw data...
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...
Inverted index in information retrieval In the world of information retrieval and search technologies, inverted indexing is a fundamental concept pivotal in transforming a seemingly chaotic sea of...
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...
The Basics of Syntactic Analysis Before understanding syntactic analysis in NLP, we must first understand Syntax. What is Syntax? Syntax is the branch of linguistics that deals with the structure,...
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...
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...
Basics of Document Classification Document classification, or document categorization, is a fundamental natural language processing (NLP) task that categorizes text documents into predefined...
What Is Dependency Parsing in NLP? Dependency parsing is a fundamental technique in Natural Language Processing (NLP) that plays a pivotal role in understanding the grammatical structure of...
What is Retrieval-Augmented Generation (RAG)? Retrieval-augmented generation (RAG) is a natural language processing (NLP) technique that combines information retrieval capabilities with text...
What is document retrieval? Document retrieval is the process of retrieving specific documents or information from a database or a collection of documents. It's fundamental in information retrieval,...
What is semantic search? Semantic search is an advanced information retrieval technique that aims to improve the accuracy and relevance of search results by understanding the context and meaning of...
What is Semantic Analysis in NLP? Semantic analysis in Natural Language Processing (NLP) is understanding the meaning of words, phrases, sentences, and entire texts in human language. It goes beyond...
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