<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AIERA</title><description>AIERA is a weekly blog for people who want more than headlines about AI. Each piece explains one idea in machine learning with real numbers, small code you can run, and diagrams you can explore.</description><link>https://aiera.com/</link><item><title>Attention, step by step: how a transformer decides what to look at</title><link>https://aiera.com/blog/attention-step-by-step/</link><guid isPermaLink="true">https://aiera.com/blog/attention-step-by-step/</guid><description>Queries, keys and values sound abstract until you follow a few tokens through the math by hand.</description><pubDate>Thu, 22 Oct 2026 00:00:00 GMT</pubDate><category>LLMs</category><category>Intermediate</category></item><item><title>Gradient descent, felt rather than memorized</title><link>https://aiera.com/blog/gradient-descent-felt/</link><guid isPermaLink="true">https://aiera.com/blog/gradient-descent-felt/</guid><description>Build intuition for slopes, step sizes and why the loss sometimes explodes, before touching any framework.</description><pubDate>Thu, 15 Oct 2026 00:00:00 GMT</pubDate><category>Math foundations</category><category>Beginner</category></item><item><title>Why your validation loss went up while training loss kept falling</title><link>https://aiera.com/blog/validation-loss-rising/</link><guid isPermaLink="true">https://aiera.com/blog/validation-loss-rising/</guid><description>Overfitting, explained with one small dataset and three fixes you can try today.</description><pubDate>Thu, 08 Oct 2026 00:00:00 GMT</pubDate><category>Training</category><category>Beginner</category></item><item><title>What the first layer of a CNN learns to see</title><link>https://aiera.com/blog/cnn-first-layer/</link><guid isPermaLink="true">https://aiera.com/blog/cnn-first-layer/</guid><description>Visualize trained filters and you find edge and colour detectors, much like the early stages of the visual cortex.</description><pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate><category>Computer vision</category><category>Beginner</category></item><item><title>Tokenizers are where your model&apos;s quirks start</title><link>https://aiera.com/blog/tokenizers-quirks/</link><guid isPermaLink="true">https://aiera.com/blog/tokenizers-quirks/</guid><description>Byte-pair encoding explains why language models struggle to count letters and do arithmetic on long numbers.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>LLMs</category><category>Intermediate</category></item><item><title>Reward is not the goal: notes on reward hacking</title><link>https://aiera.com/blog/reward-hacking/</link><guid isPermaLink="true">https://aiera.com/blog/reward-hacking/</guid><description>When an agent maximizes the number you gave it rather than the behaviour you meant.</description><pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate><category>Reinforcement learning</category><category>Advanced</category></item><item><title>Diffusion models, from pure noise to an image</title><link>https://aiera.com/blog/diffusion-noise-to-image/</link><guid isPermaLink="true">https://aiera.com/blog/diffusion-noise-to-image/</guid><description>Train a network to remove a little noise, then run it many times in a row.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate><category>Computer vision</category><category>Intermediate</category></item><item><title>Shipping a model is the easy part: watching for drift</title><link>https://aiera.com/blog/monitoring-drift/</link><guid isPermaLink="true">https://aiera.com/blog/monitoring-drift/</guid><description>How input data quietly changes after launch, and the checks that catch it before your users do.</description><pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate><category>MLOps</category><category>Intermediate</category></item><item><title>Evaluating LLM outputs without fooling yourself</title><link>https://aiera.com/blog/evaluating-llm-outputs/</link><guid isPermaLink="true">https://aiera.com/blog/evaluating-llm-outputs/</guid><description>Contaminated benchmarks, position bias in model graders, and how to build an eval set you can trust.</description><pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate><category>LLMs</category><category>Advanced</category></item></channel></rss>