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Recent Articles
Popular Articles
Difference Between Autoregressive And Non-Autoregressive Models
Last Updated: 06 June 2024
In the realm of natural language processing (NLP) and time series analysis, two fundamental approaches for generating sequences are autoregressive (AR) models and non-auto...
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Non-Autoregressive Transformers (NATs): Revolutionizing Sequence Generation
Last Updated: 22 August 2024
In natural language processing (NLP) and other sequence generation tasks, Transformers have become a dominant model architecture due to their ability to handle large-scale...
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How Amazon Alexa Works Using NLP: A Complete Guide
Last Updated: 03 April 2025
Consider a scenario where you wish to check the weather. So you say, “Hey Alexa, what’s the weather today?” And Alexa responds with, “It’s a sunny day today,” sounding exa...
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Top 10 Natural Language Processing API in 2025
Last Updated: 03 April 2025
Ever wondered how apps and devices interpret and react to our words or typing? Natural language processing, or NLP, is what enables chatbots to answer your inquiries, cre...
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Sentiment Analysis using LSTM
Last Updated: 05 June 2025
Sentiment Analysis is a popular technique in Natural Language Processing (NLP) used to identify the emotional tone behind a body of text. Whether it’s a movie review, a tw...
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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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Natural-language-processing
NLP
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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
NLP
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How to use LLMs for Regression
Last Updated: 06 June 2025
LLMs, while originally designed for text-based tasks, can be fine-tuned or prompted for regression by treating the numeric prediction as a language generation problem. Reg...
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Natural-language-processing
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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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Natural-language-processing
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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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LLM Agents
Last Updated: 11 June 2025
In recent years, Large Language Model (LLM) agents have emerged as a transformative force in artificial intelligence. Unlike traditional chatbots that rely on predefined r...
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data-science
Natural-language-processing
Artificial Intelligence
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-language-processing
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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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Natural-language-processing
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