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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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RustGPT: A pure-Rust transformer LLM built from scratch

RustGPT: A pure-Rust transformer LLM built from scratch

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4 min read
💡 The Ultimate 2025 AI Cheat Sheet: Top LLMs & Generative AI Tools You Can’t Ignore 🚀

💡 The Ultimate 2025 AI Cheat Sheet: Top LLMs & Generative AI Tools You Can’t Ignore 🚀

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2 min read
The hidden cost of evaluation loops

The hidden cost of evaluation loops

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1 min read
Creating Artificial Personality: Why One AI Model Isn’t Enough

Creating Artificial Personality: Why One AI Model Isn’t Enough

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1 min read
Deploying MiroThinker for AI-Powered Predictions in askpaul.ai

Deploying MiroThinker for AI-Powered Predictions in askpaul.ai

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2 min read
Titania Programming Language

Titania Programming Language

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4 min read
Built my own LangChain alternative for routing, analytics & RAG

Built my own LangChain alternative for routing, analytics & RAG

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1 min read
Deploying Medical Semantic Search with Lightweight MLOps Pipelines
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Deploying Medical Semantic Search with Lightweight MLOps Pipelines

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8 min read
Unlocking the Future of Cloud Efficiency: Quantum Machine Learning for Data Center Optimization

Unlocking the Future of Cloud Efficiency: Quantum Machine Learning for Data Center Optimization

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2 min read
The $100 Million AI Mistake: Why Your ML Models Are Failing (And How to Fix Them)
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The $100 Million AI Mistake: Why Your ML Models Are Failing (And How to Fix Them)

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1 min read
How I Automated Document Insights Using AWS Textract, Bedrock, and QuickSight
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How I Automated Document Insights Using AWS Textract, Bedrock, and QuickSight

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21 min read
From Word Predictor to Thinking Partner: The Rise of Thinking Models

From Word Predictor to Thinking Partner: The Rise of Thinking Models

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7 min read
Implemented all popular optimizers from scratch in NumPy.

Implemented all popular optimizers from scratch in NumPy.

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1 min read
(2/3) LLM: Data, Transformers, and Relentless Compute

(2/3) LLM: Data, Transformers, and Relentless Compute

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11 min read
(1/3) LLM: How LLMs Became the Bedrock of Modern AI

(1/3) LLM: How LLMs Became the Bedrock of Modern AI

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4 min read
The case against social media is stronger than you think

The case against social media is stronger than you think

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4 min read
Understanding the Core Concepts: From Data Mountains to Informative Peaks

Understanding the Core Concepts: From Data Mountains to Informative Peaks

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3 min read
Building Intuitions Towards Evaluation Metrics for NLP Tasks

Building Intuitions Towards Evaluation Metrics for NLP Tasks

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8 min read
How does low-rank adaptation for large language models work
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How does low-rank adaptation for large language models work

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21 min read
(3/3) LLM: In-Context Learning, Hype, and the Road Ahead

(3/3) LLM: In-Context Learning, Hype, and the Road Ahead

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5 min read
EdgeBERT: I Built My Own Neural Network Inference Engine in Rust

EdgeBERT: I Built My Own Neural Network Inference Engine in Rust

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4 min read
How Milliseconds Become Hours at Scale
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How Milliseconds Become Hours at Scale

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7 min read
As a New Hire, I'm Leading the Company Platform's Facial Authentication System Development

As a New Hire, I'm Leading the Company Platform's Facial Authentication System Development

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3 min read
Decision Tree Classifier
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Decision Tree Classifier

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1 min read
What is Backpropagation?

What is Backpropagation?

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3 min read
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