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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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Natural-language-processing
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AI-ML-DS With Python
Data Science
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
NLP
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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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Natural-language-processing
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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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NLP
AI-ML-DS
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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Natural-language-processing
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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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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
Introduction to ChromaDB
Last Updated: 01 July 2025
With the rise of large language models (LLMs) and their applications, need of vector databases also increased and ChromaDB is an open-source vector database designed to st...
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NLP
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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Natural-language-processing
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Deep Learning
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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Natural-language-processing
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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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Natural-language-processing
NLP
Semantic Analysis with NLTK
Last Updated: 02 July 2025
Semantic Analysis in NLP is the process of extracting meaning from text beyond just the words themselves. While syntax focuses on structure semantics helps machines unders...
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NLP
AI-ML-DS With Python
Dependency Parsing with NLTK
Last Updated: 02 July 2025
Dependency parsing is a way to understand how words in a sentence are connected. It finds which words depend on others. In NLTK, there is no built in full dependency parse...
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NLP
AI-ML-DS With Python
NLTK for Topic Modeling
Last Updated: 02 July 2025
Topic modeling is a way to automatically find hidden themes or topics in a large collection of text. With NLTK you can do the first important step which is cleaning and pr...
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