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What are Vector Embeddings?
Last Updated: 03 June 2025
Vector embedding are digital fingerprints or numerical representations of words or other pieces of data. Each object is transformed into a list of numbers called a vector....
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What is Mixture of Experts (MoE)?
Last Updated: 06 June 2025
Mixture of experts (MoE) is amachine learningapproach that divides a machine learning modelinto separate sub networks or experts where each of these experts specialize in ...
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What are embedding models
Last Updated: 03 June 2025
Embedding models are the type of machine learning model designed to represent data in a continuous, low dimensional vector space called embedding. Embedding are numerical ...
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Natural-language-processing
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What is Word Clustering?
Last Updated: 04 June 2025
In Natural Language Processing (NLP), word clustering is a technique used to group words with similar meanings or usage patterns. This helps machines understand language m...
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What are Small Language Models (SLMs)
Last Updated: 07 June 2025
Small Language Models (SLMs) are natural language processing (NLP) models with relatively fewer parameters (typically millions to a few hundred million) compared to Large ...
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Part of Speech (POS) tagging with Hidden Markov Model
Last Updated: 10 June 2025
Part of Speech (POS) tagging is the process of assigning a grammatical category to each word in a sentence based on its role in the context. These categories include noun,...
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Token Classification in Natural Language Processing
Last Updated: 12 June 2025
Token classification is a core task in Natural Language Processing (NLP) where each token (typically a word or sub-word) in a sequence is assigned a label. This task is im...
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Building a Basic PDF Summarizer LLM Application with LangChain
Last Updated: 18 June 2025
A PDF summarizer is a specialized tool built using LangChain designed to analyze the content of PDF documents providing users with concise and relevant summaries. The appl...
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Multimodal Embedding
Last Updated: 13 June 2025
Multimodal embedding combines different types of data models into a shared embedding space. It is a powerful approach in machine learning that aims to combine and represen...
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Natural Semantic Metalanguage
Last Updated: 16 June 2025
Natural Semantic Metalanguage (NSM) is a linguistic theory and methodology developed to understand and describe the meanings of words and concepts in any language using a ...
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Semantic Search vs Vector Search
Last Updated: 20 June 2025
The increasing use of LLMs and AI technologies has revolutionised how organizations retrieve information. Traditional keyword-based searches often struggle to capture the ...
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What is vector search?
Last Updated: 21 June 2025
Vector search is a smart way of finding things that are similar in meaning not just in words. It works by turning data like text, images or videos into numbers called vect...
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NLP with Deep Learning
Last Updated: 28 June 2025
Natural Language Processing (NLP) is a subfield of AI focused on making machines to understand, interpret, generate and respond to human language. Deep Learning (DL) invol...
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Text Classification Using NLTK
Last Updated: 28 June 2025
Text classification is a fundamental task in Natural Language Processing (NLP) that involves assigning categories or labels to text based on its content. One of the most a...
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spaCy for Natural Language Processing
Last Updated: 30 June 2025
spaCy is an open-source library for advanced Natural Language Processing (NLP) in Python. Developed by Matthew Honnibal and Ines Montani, spaCy is designed to be fast, eff...
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