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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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My spoof gate rejected every attack. It was rejecting them for the wrong reason.

My spoof gate rejected every attack. It was rejecting them for the wrong reason.

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4 min read
A free ML and AI course where you build your own GPT from scratch :B

A free ML and AI course where you build your own GPT from scratch :B

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3 min read
GPT Image 2.5 vs Nano Banana 2.1: Head-to-Head Comparison of Modern AI Image Generators

GPT Image 2.5 vs Nano Banana 2.1: Head-to-Head Comparison of Modern AI Image Generators

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4 min read
An AI says it played well. Show it the cards, and it says it got lucky.

An AI says it played well. Show it the cards, and it says it got lucky.

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10 min read
Your Agent's Gate Threshold Is a Winner's Curse: Tuning Per-Action Thresholds Without Fooling Yourself

Your Agent's Gate Threshold Is a Winner's Curse: Tuning Per-Action Thresholds Without Fooling Yourself

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13 min read
A Decision Model That Writes Nothing Just Took #1 on a 137-Benchmark Board

A Decision Model That Writes Nothing Just Took #1 on a 137-Benchmark Board

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4 min read
Benchmarking FunASR Streaming ASR: Throughput, Memory Overhead, and p99 Latency Under Load

Benchmarking FunASR Streaming ASR: Throughput, Memory Overhead, and p99 Latency Under Load

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4 min read
What Not to Hear

What Not to Hear

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5 min read
How FlashAttention Actually Works: Tiling, SRAM Reuse, and Why It's 10x Faster

How FlashAttention Actually Works: Tiling, SRAM Reuse, and Why It's 10x Faster

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3 min read
Section 3b: The convex conjugate and the variational bound

Section 3b: The convex conjugate and the variational bound

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10 min read
Serving Iris-3B Turbo: the 42 GB repo, the 21 GB of VRAM and the 8 MB payload limit

Serving Iris-3B Turbo: the 42 GB repo, the 21 GB of VRAM and the 8 MB payload limit

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5 min read
Stop Calling an LLM for Every Ticket: Compile the Decision Once, Then Run It Locally

Stop Calling an LLM for Every Ticket: Compile the Decision Once, Then Run It Locally

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8 min read
Why the same face doesn't score 1.0 – lessons from building a face-similarity search in Python

Why the same face doesn't score 1.0 – lessons from building a face-similarity search in Python

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5 min read
Ling-3.1-flash and the 7:1 hybrid: how much KV cache does a 560B model need at 1M tokens?

Ling-3.1-flash and the 7:1 hybrid: how much KV cache does a 560B model need at 1M tokens?

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10 min read
LFM2.5-24B-A2B on Your Own Hardware: The RAM, KV Cache and Bandwidth Budget

LFM2.5-24B-A2B on Your Own Hardware: The RAM, KV Cache and Bandwidth Budget

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11 min read
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