Analytics Vidhya

“Analytics Vidhya” is a platform known for providing insightful content on data science, machine learning, and artificial intelligence. The referenced documents offer a glimpse into the diverse topics covered on the platform, ranging from Python programming and AI applications to data augmentation and enterprise AI architecture. The content delves into discussions on Python speed considerations, AI applications with short-term memory, and the challenges of generative AI in enterprise settings. Through these documents, readers can explore practical examples, technical demonstrations, and expert insights relevant to the evolving landscape of data science and machine learning.

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From Images to 3D Worlds

Analytics Vidhya

Spatial Artificial Intelligence: The New Frontier Array of Authors own pictures as input for 3D reconstruction 3D reconstruction has become one of the most important tools in modern digital workflows...

Fine-tuning with low-no budget

Analytics Vidhya

Open-Source Language Models on Windows 11 Without a GPU Photo by Nicolas Lochon on Unsplash Introduction Large language models (LLMs) have become increasingly popular in recent years, powering applic...

Experience not Data is the new oil

Analytics Vidhya

Have you ever tried to get personalized advice from a chatbot? You might ask for a health tip, but it doesn’t know your history, your previous diet, or how certain foods affect your energy levels. Thi...

Building a Multi-Format RAG App

Analytics Vidhya

Retrieval-Augmented Generation (RAG) has emerged as a powerful technique that combines the best of information retrieval and language generation. Here, we will go through steps for building a versatil...

DataHack Summit 2025: India’s Most Futuristic AI Conference

Analytics Vidhya

Book your tickets NOW!! There is hardly a day that goes by without some new development in AI. With all that’s going around AI and the news surrounding it, it can feel overwhelming to catch up to it ...

Building and Deploying a Streamlit RAG App on Google Cloud: A Journey of Learning

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Building and Deploying a Streamlit RAG App on Google Cloud Building and Deploying a Streamlit RAG App on Google Cloud: A Journey of Learning In this post, I’ll share my experience building a Retrieval...

Grok 3: The Future of AI is Here

Analytics Vidhya

Artificial Intelligence (AI) is evolving at an incredible pace, and one of the biggest breakthroughs in 2025 is Grok 3, the latest AI model developed by Elon Musk’s x.AI. This model is already making ...

Is the Turing Test Still Relevant in the Age of Modern AI?

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Is the Turing Test Still Relevant in the Age of Modern AI? Do We Need a New Approach to Measure Consciousness? The Turing Test, originally called the Imitation Game, proposed by Alan Turing in 1950, ...

Decoding Recurrent Neural Networks (RNNs)

Analytics Vidhya

The world of neural networks is vast, and one of the most fascinating architectures is the Recurrent Neural Network (RNN). RNNs are designed to work with sequential data, making them ideal for tasks l...

Mastering OpenAI o3 mini

Analytics Vidhya

OpenAI’s O3 Mini is a fast and efficient AI model that’s great for various tasks due to its speed and affordability. This guide explains how to use o3 Mini effectively, focusing on running it on Googl...

From Frustration to Denoising Success: A Deep Dive into Building an Image Denoising Autoencoder…

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A Typical U-Net architecture From Frustration to Denoising Success: A Deep Dive into Building an Image Denoising Autoencoder with PyTorch Introduction: Image denoising is a classic problem in computer...

Understanding Transformers: A Beginner’s Guide

Analytics Vidhya

The rise of deep learning has brought about significant advancements in Natural Language Processing (NLP), computer vision, and more, thanks to models that understand and process sequential data. At t...