Quantum Insights

Exploring the frontiers of AI, quantum computing, and more

Attending Transformers

I had the rough idea of transformers architecture from the famous Attention is all you need paper, which took everything by storm, because AI has existed for many decades now but until now either everything was kind of rule based or if not for every task you'd need to train a seperate model, but with transformers which initially showed Translation example, developed so much that now it almost feels like it understands what we write, what we see, what we hear, although its just a bunch of number computations and boom, its magical.

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Blockchain Explained

Understanding the fundamentals of blockchain technology, from its structure to practical applications. A comprehensive guide to decentralized ledgers and their impact on various industries.

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Markov Chain Monte Carlo (MCMC) - No BS

A clear, no-nonsense explanation of Markov Chain Monte Carlo methods. Cutting through the complexity to provide an intuitive understanding of this powerful statistical technique.

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Model Context Protocol (MCP)

An exploration of the Model Context Protocol maintained by Apic. Examining how this framework standardizes interactions with large language models and enables more powerful applications.

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Decoding LLMs

LLMs are impressive of course, but their mysterious black box nature still remains unknown about how things are happening the way they are. We are just aware of this architecture and the process of training them. But post training, how exactly are they being so intelligent?

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Quantum Computers

This is the second post of Quantum Computers Series, continuing our exploration of quantum computing fundamentals and how they differ from classical computing paradigms.

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What's a Computer, Anyway?

This is the first post in the series of Quantum Computer. To understand what quantum computers are, we first need to understand what's a computer, actually?

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Central Limit Theorem

Have you ever participated in a poll? This article explains the intuition behind polling and how the Central Limit Theorem forms the foundation of statistical sampling and inference.

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Slowly Changing Dimensions

SCDs are dimensions that change over time, but not frequently. For example, the price of a product typically changes due to inflation. Learn how to handle these changes in data warehousing.

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The Quantum Revolution in AI

The convergence of quantum computing and artificial intelligence is poised to revolutionize the field of AI, opening up new frontiers in machine learning, optimization, and problem-solving.

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