1m ago · 14 min read · "If you can't explain it simply, you don't understand it well enough." Albert Einstein Somewhere in 2022, a team of researchers at Google Brain stumbled onto something that felt almost too simple to
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1d ago · 12 min read · Every production LLM you interact with today, LLaMA 3, Mistral, Gemma, Claude, runs on multi-head attention as its core computation. The paper that introduced it, "Attention Is All You Need" (Vaswani
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3d ago · 8 min read · Imagine a robot that doesn't just see the world in static snapshots, but comprehends its dynamic evolution over time. This isn't science fiction; it's the frontier of 4D robotic vision, where artificial intelligence is unlocking unprecedented capabil...
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5d ago · 14 min read · TLDR: There is no single "best" LLM quantization. You classify and choose quantization along three axes: when you quantize (timing), what you quantize (scope), and how values are encoded (mapping). In practice, most teams start with weight quantizati...
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6d ago · 8 min read · Why This Comparison Exists I've been running Nemotron Nano 9B v2 Japanese on an RTX 5090 with vLLM 0.15.1 for months now. Before settling on vLLM, I evaluated TensorRT-LLM, considered Ollama, and benchmarked llama.cpp. This article captures what I le...
Join discussionMar 12 · 5 min read · Introduction As part of improving my skills in data science, machine learning, and backend development, I decided to build a practical project that analyzes public opinion from social media. The idea
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Mar 10 · 10 min read · AI Research Papers I'm Reading— Issue #01 Paper: Quantum Inspired Self-Attention In A Large Language Model - arXiv:2603.03318 - TL;DR - Researchers have taken an existing language model called GPT-1
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Mar 10 · 2 min read · Neural networks with memory for sequences Day 75 of 149 👉 Full deep-dive with code examples The Reading Memory Analogy When reading a sentence, you don't forget the beginning: "The cat sat on the ___" You know "mat" makes sense because you REMEMBER...
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