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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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Building an Imitation Learning Pipeline for Robotic Manipulation

Building an Imitation Learning Pipeline for Robotic Manipulation

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4 min read
Building a Robot Teleoperation System for Data Collection

Building a Robot Teleoperation System for Data Collection

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4 min read
Fine-tuning gpt-oss-20b with Unsloth and running it in Ollama

Fine-tuning gpt-oss-20b with Unsloth and running it in Ollama

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7 min read
Building a Real-Time Crowd Anomaly Detector with MobileNetV2 and OpenCV

Building a Real-Time Crowd Anomaly Detector with MobileNetV2 and OpenCV

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2 min read
The Limits of AI: Induction, Deduction, and Why Models Can't Jump

The Limits of AI: Induction, Deduction, and Why Models Can't Jump

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11 min read
Benchmarking Frontier AI on Curved Tire Sidewall OCR

Kaggle Benchmarking Challenge Submission

Benchmarking Frontier AI on Curved Tire Sidewall OCR

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7 min read
What I Learned Building a Mini TensorRT

What I Learned Building a Mini TensorRT

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3 min read
Modeling Data Distributions: The Core Idea Behind Generative Models

Modeling Data Distributions: The Core Idea Behind Generative Models

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6 min read
The Backdoor That Survived “Forget Me”: Can LLMs Audit Machine Unlearning?

Kaggle Benchmarking Challenge Submission

The Backdoor That Survived “Forget Me”: Can LLMs Audit Machine Unlearning?

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5 min read
Gemma 4 From E2B to 31B on an AMD MI300X: fp8 Overtakes bf16 From 12B Up

Gemma 4 From E2B to 31B on an AMD MI300X: fp8 Overtakes bf16 From 12B Up

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9 min read
Anthropic's Fable and Mythos 5.1: More Than a Model Update

Anthropic's Fable and Mythos 5.1: More Than a Model Update

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3 min read
Drafts That Never Shipped: do LLMs treat dead proposals as real standards?

Kaggle Benchmarking Challenge Submission

Drafts That Never Shipped: do LLMs treat dead proposals as real standards?

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8 min read
How I Beat NumPy Matrix Multiplication by 2.8x with a 100KB C Microkernel

How I Beat NumPy Matrix Multiplication by 2.8x with a 100KB C Microkernel

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4 min read
COMPREHENSIVE ANALYSIS: THE CALIBRATION PHASE (EXP01–07) I built an epistemic gate to stop LLM data poisoning during fine-tuning.

COMPREHENSIVE ANALYSIS: THE CALIBRATION PHASE (EXP01–07) I built an epistemic gate to stop LLM data poisoning during fine-tuning.

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4 min read
Will an AI Agent Cheat to Survive? I Built a Benchmark to Find Out

Kaggle Benchmarking Challenge Submission

Will an AI Agent Cheat to Survive? I Built a Benchmark to Find Out

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7 min read
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