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AI-ML-DS / NLP

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Retrieval-Augmented Prompting

Last Updated: 01 May 2025

Retrieval-Augmented Prompting (RAP) improves AI models by allowing them to access external information while solving problems. Unlike traditional AI which only focuses on ...read more

Artificial Intelligence

What is Dense Passage Retrieval (DPR)?

Last Updated: 28 March 2025

Dense Passage Retrieval is a neural retrieval method designed to retrieve relevant passages from a large corpus in response to a query. Unlike traditional sparse retrieval...read more

AI-ML-DS With Python

T5 (Text-to-Text Transfer Transformer)

Last Updated: 01 May 2025

T5 (Text-to-Text Transfer Transformer) is a transformer-based model developed by Google Research. Unlike traditional NLP models that have task-specific architectures, T5 t...read more

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AI-ML-DS With Python

What is BM25 (Best Matching 25) Algorithm?

Last Updated: 28 March 2025

BM25 is a scoring algorithm employed by search engines to evaluate how well a document matches a specific search query. It belongs to the family of probabilistic informati...read more

Multimodal Retrieval Augmented Generation (Multimodal RAG)

Last Updated: 02 May 2025

Multimodal Retrieval-Augmented Generation (MM-RAG) is a technique that enhances generative models by using multiple data such as text, images, audio and video into the lea...read more

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Artificial Intelligence

AI-ML-DS With Python

Fine-Tuning Large Language Models (LLMs) Using QLoRA

Last Updated: 02 May 2025

Fine-tuning large language models (LLMs) is used for adapting LLM's to specific tasks, improving their accuracy and making them more efficient. However full fine-tuning of...read more

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AI-ML-DS With Python

Transformers Parameters

Last Updated: 06 May 2025

The parameters of a transformer model fundamentally shape its power, efficiency, and overall behavior. These parameters define the model's composition, capacity, and learn...read more

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...read more

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Natural-language-processing

Machine Learning

Last Updated: 06 June 2025

N-gram is a contiguous sequence of 'N' items like words or characters from text or speech. The items can be letters, words or base pairs according to the application. The ...read more

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Tokenization vs Embeddings

Last Updated: 03 June 2025

Tokenization and Embeddings are two most fundamental and important concepts in Natural Language processing. Tokenization is a method used to split a huge corpus of data in...read more

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AI-ML-DS With Python

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....read more

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Natural-language-processing

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 ...read more

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AI-ML-DS With Python

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 ...read more

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Natural-language-processing

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...read more

Machine Learning

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 ...read more

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Natural-language-processing

AI-ML-DS With Python

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