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AI-ML-DS

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Topic Modeling with NLTK

Last Updated: 03 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...read more

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Natural-language-processing

Last Updated: 02 July 2025

Meta promptingis an advanced prompt engineering technique where prompts are used to generate, refine, or analyze other prompts, rather than directly answering a user’s que...read more

Artificial Intelligence

Adversarial prompting

Last Updated: 02 July 2025

Adversarial promptingis the practice of crafting prompts that intentionally exploit vulnerabilities in large language models (LLMs) to make them produce undesirable, harmf...read more

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Artificial Intelligence

AI-ML-DS With Python

Dynamic prompting

Last Updated: 05 July 2025

Dynamic promptingis an advanced technique in prompt engineering where the content, structure and even the placement of prompts are adjusted in real time based on the speci...read more

Artificial Intelligence

Large Language Model(LLM)

ReAct Language Model

Last Updated: 03 July 2025

ReAct stands for Reasoning and Acting. It is a framework that allows language models like GPT to interleave reasoning steps with actionable steps (e.g., using tools, searc...read more

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Large Language Model(LLM)

How to find and Use API Key of OpenAI

Last Updated: 05 July 2025

OpenAI provides its API to interact with their language models. To make use of these models, you need to have an API key which serves as your authentication method. This k...read more

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Role-based prompting

Last Updated: 04 July 2025

Role-based promptingis a prompt engineering technique where you explicitly instruct an AI to assume a specific role, persona or character when generating responses. This a...read more

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Artificial Intelligence

What is Text Classification?

Last Updated: 03 July 2025

Text Classification is the process of assigning predefined categories or labels to text data. It is a core task in Natural Language Processing (NLP) used in applications l...read more

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AI-ML-DS With Python

Introduction to PyTorch Geometric

Last Updated: 03 July 2025

PyTorch Geometric (PyG) is a popular extension library for PyTorch that makes it easy to build and train Graph Neural Networks (GNNs). It provides efficient tools and data...read more

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Data Science Library

Introduction to textblob in NLP

Last Updated: 04 July 2025

TextBlob is a simple Python library for processing and analyzing text data. It builds on NLTK and Pattern, providing an easy to use interface for tasks like tokenization, ...read more

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Distributed Data Parallel

Last Updated: 04 July 2025

Distributed Data Parallel (DDP) is a technique that enables the training of deep learning models across multiple GPUs and even multiple machines. By splitting data and com...read more

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Using Keras to Build Custom Object Detection Models

Last Updated: 05 July 2025

Building custom object detection models using Keras (specifically with KerasCV, an extension for Computer Vision tasks) is a powerful way to detect and localize objects in...read more

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Computer Vision

AI-ML-DS With Python

Modules of LangChain

Last Updated: 04 July 2025

LangChain is a modular framework designed to build applications powered by large language models (LLMs). Its architecture allows developers to integrate LLMs with external...read more

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Artificial Intelligence

Contextual Prompting

Last Updated: 05 July 2025

Contextual Promptingis a prompt engineering technique where you provide the AI with relevant background information, specific instructions, tone and objectives within your...read more

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Artificial Intelligence

Reframing prompting

Last Updated: 05 July 2025

Reframing promptingis a set of empirically grounded techniques for rewriting or restructuring instructions given to large language models (LLMs) like GPT-3, GPT-4 or Gemin...read more

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Artificial Intelligence

Large Language Model(LLM)

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