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  • From Zero to Agents: Deconstructing the AI Revolution
    Jul 29, 2026
    junaidte14

    From Static to Contextual Word Embeddings: The Idea Behind Attention (Ep.01.02)

    Episode 01.01 ended by asking what it would take for a word’s vector to be computed fresh, for a specific sentence, using the words actually nearby right now — rather…

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  • From Zero to Agents: Deconstructing the AI Revolution
    Jul 27, 2026
    junaidte14

    Subword Embeddings and fastText: Solving the OOV Problem at the Vector Level (Ep.01.01)

    Episode 01.00 ended by asking: does Module 00’s word-embedding machinery just apply directly to subword tokens like lowe + r + i + n + g, or does something break?…

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  • From Zero to Agents: Deconstructing the AI Revolution
    Jul 27, 2026
    junaidte14

    Byte-Pair Encoding Explained: Why Tokenization Isn’t Just Splitting on Spaces (Ep.01.00)

    Every episode of Module 00 quietly relied on .split() — text broken into whole words at whitespace, no questions asked. It was a deliberate simplification, flagged twice and never resolved.…

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  • Artificial Intelligence (AI)
    Jul 25, 2026
    junaidte14

    Is Your AI Agent Actually Intelligent, or Just a Very Good Parrot?

    Every AI agent demo looks intelligent. That’s the problem. A demo is, almost by definition, a curated set of inputs the builder already knows the system handles well. The interesting…

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  • From Zero to Agents: Deconstructing the AI Revolution
    Jul 25, 2026
    junaidte14

    Why Are “Unrelated” Word Embeddings Never Actually at Zero Similarity? (Ep. 00.04)

    Episode 00.03 ended with similarity(“king”, “apple”) = 0.74 — high, even though apple is the clearly unrelated word in that toy vocabulary — and asked why. There are two real…

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  • From Zero to Agents: Deconstructing the AI Revolution
    Jul 25, 2026
    junaidte14

    Dense Word Embeddings Explained: From Co-occurrence Matrices to word2vec (Episode 00.03)

    The last episode 00.02 left a real problem on the table: co-occurrence vectors give words meaningful, graded similarity — but they’re the same size as the vocabulary, mostly zeros, and…

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  • From Zero to Agents: Deconstructing the AI Revolution
    Jul 25, 2026
    junaidte14

    How Does a Word Become a Number? The Representation Problem in AI (Episode 00.02)

    Episode 00.01 landed on a working definition of intelligence built around selecting good actions under uncertainty, and generalizing efficiently. Every example we used to demonstrate that — the lookup table,…

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  • From Zero to Agents: Deconstructing the AI Revolution
    Jul 23, 2026
    junaidte14

    What Is Intelligence, Really? (From Zero to Agents, Episode 00.01)

    Last episode ended with a question. Here’s a definition worth pressure-testing (a very common first instinct — someone may say): “A system is intelligent if it can analyze requirements and…

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  • From Zero to Agents: Deconstructing the AI Revolution
    Jul 23, 2026
    junaidte14

    From Zero to Agents: A Foundational AI/ML Course Built From First Principles (Episode 00.00)

    Most “learn AI” content today teaches you to assemble — wire an LLM API into a framework, call it an agent, ship it. That’s a real and useful skill. It…

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  • Learn FastAPI from Scratch
    Apr 20, 2026
    junaidte14

    Ep.12 AIVerse Extension Plan: Multi-Model AI Integration

    The AIVerse project is evolving from a single-engine chat tool into a production-ready, multi-provider ecosystem. This extension plan details our strategic shift toward a modular architecture—utilizing FastAPI, PostgreSQL, and React—to…

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  • Learn FastAPI from Scratch
    Apr 20, 2026
    junaidte14

    Ep.11 AIVerse Full Stack AI Project – Complete Summary

    AIVerse is a production-ready, full-stack AI application built with modern technologies and best practices. It combines a powerful FastAPI backend with AI capabilities, comprehensive authentication, and complete deployment infrastructure with…

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  • Learn FastAPI from Scratch
    Apr 19, 2026
    junaidte14

    Ep.10 FastAPI Docker Deployment: Complete Production Guide

    Deploy FastAPI to production with Docker, Kubernetes, and CI/CD. Learn containerization, orchestration, monitoring, and scaling best practices.

    Continue reading →

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Recent Posts

  • From Static to Contextual Word Embeddings: The Idea Behind Attention (Ep.01.02)July 29, 2026
  • Subword Embeddings and fastText: Solving the OOV Problem at the Vector Level (Ep.01.01)July 27, 2026
  • Byte-Pair Encoding Explained: Why Tokenization Isn’t Just Splitting on Spaces (Ep.01.00)July 27, 2026
  • Is Your AI Agent Actually Intelligent, or Just a Very Good Parrot?July 25, 2026
  • Why Are “Unrelated” Word Embeddings Never Actually at Zero Similarity? (Ep. 00.04)July 25, 2026

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