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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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I Built a Tool to Benchmark 100+ LLMs on My Actual Use Case — Here's What I Learned

I Built a Tool to Benchmark 100+ LLMs on My Actual Use Case — Here's What I Learned

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3 min read
đź”™ STEP-BACK Prompting Technique
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đź”™ STEP-BACK Prompting Technique

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4 min read
Building Production RAG Without LangChain

Building Production RAG Without LangChain

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6 min read
Building a Jedi-Style Hand Gesture Interface with TensorFlow.js: Control Your Browser Without Touching Anything
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Building a Jedi-Style Hand Gesture Interface with TensorFlow.js: Control Your Browser Without Touching Anything

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4 min read
Breaking the Black Box Without Sacrificing Performance

Breaking the Black Box Without Sacrificing Performance

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3 min read
Engineering-Grade Strategies for Hallucination Prevention in GenAI Systems
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Engineering-Grade Strategies for Hallucination Prevention in GenAI Systems

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5 min read
Compiling the Vision Encoder: Squeezing 3% More Throughput from Qwen3-VL on Hopper GPUs

Compiling the Vision Encoder: Squeezing 3% More Throughput from Qwen3-VL on Hopper GPUs

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11 min read
6 Machine Learning System Design Patterns Every Engineer Should Know
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6 Machine Learning System Design Patterns Every Engineer Should Know

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6 min read
How Netflix, Uber, and Google Build AI Systems: Architecture Deep Dive
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How Netflix, Uber, and Google Build AI Systems: Architecture Deep Dive

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7 min read
How do robots dream?

How do robots dream?

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6 min read
I Built a Zero-Code LLM Fine-Tuning App for Mac — Here's How It Works

I Built a Zero-Code LLM Fine-Tuning App for Mac — Here's How It Works

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2 min read
7 Best Resources to Learn Deep Learning in 2026
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7 Best Resources to Learn Deep Learning in 2026

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3 min read
Sentiment Analysis in C# - Without Python or External APIs

Sentiment Analysis in C# - Without Python or External APIs

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6 min read
Caching Strategies for LLM Systems (Part 3): Multi-Query Attention and Memory-Efficient Decoding

Caching Strategies for LLM Systems (Part 3): Multi-Query Attention and Memory-Efficient Decoding

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5 min read
Failed Machine Learning Experiment: Training XGBoost Classifier with 1.5m signals
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Failed Machine Learning Experiment: Training XGBoost Classifier with 1.5m signals

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3 min read
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