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<loc>https://www.neuralialabs.com/en/videos/gradient-checking</loc>
<lastmod>2026-10-02T04:02:05.050Z</lastmod>
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<video:thumbnail_loc>https://storage.neuralialabs.com/social/4sCaJOMdolOC4HitPLt5/story/cover.87c8eea3.jpg</video:thumbnail_loc>
<video:title>Gradient checking: catching the silent bug in AI training math — AI Concepts #032</video:title>
<video:description>A hand-derived slope formula can be quietly wrong with no error message. Learn how gradient checking measures slopes directly and exposes a one-character typo.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/4sCaJOMdolOC4HitPLt5/story/video.f88be094.mp4</video:content_loc>
<video:duration>23</video:duration>
<video:publication_date>2026-10-02T04:02:05.050Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/momentum</loc>
<lastmod>2026-10-01T22:01:12.365Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/1Sa5I6LCjphWhPtGTJPD/story/cover.9575a92d.jpg</video:thumbnail_loc>
<video:title>Momentum: how remembering past steps stops AI training zigzagging — AI Concepts #031</video:title>
<video:description>In a narrow valley, training zigzags and wastes most of each step. Learn how momentum cancels the zigzag, turning 79,513 steps into 461 with two lines of code.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/1Sa5I6LCjphWhPtGTJPD/story/video.36bfec58.mp4</video:content_loc>
<video:duration>24</video:duration>
<video:publication_date>2026-10-01T22:01:12.365Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/mini-batch-sgd</loc>
<lastmod>2026-10-01T16:00:06.163Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/ZaepJXPpnxPaWGLyUfQ0/story/cover.709309dd.jpg</video:thumbnail_loc>
<video:title>Mini-batches: why AI learns faster from a random handful of data — AI Concepts #030</video:title>
<video:description>Why training on a random handful of 32 examples beats using the whole dataset at every step: noisier steps, but 219 times less work to reach the same place.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/ZaepJXPpnxPaWGLyUfQ0/story/video.0aa3d49f.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-10-01T16:00:06.163Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/saddle-point</loc>
<lastmod>2026-10-01T10:04:06.664Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/vtP9QkgFS6OIMAfzOka0/story/cover.ed13f32e.jpg</video:thumbnail_loc>
<video:title>Saddle points: where AI training looks stuck but has a way down — AI Concepts #029</video:title>
<video:description>A flat spot is not always a valley. Learn what a saddle point is, why gradient descent cannot tell it from a minimum, and why big networks are full of them.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/vtP9QkgFS6OIMAfzOka0/story/video.68960e55.mp4</video:content_loc>
<video:duration>23</video:duration>
<video:publication_date>2026-10-01T10:04:06.664Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/local-minima</loc>
<lastmod>2026-10-01T04:03:06.758Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/aukceW7tLTqhkyzPgPGb/story/cover.8535d47b.jpg</video:thumbnail_loc>
<video:title>Local minima: why AI training can settle for second best — AI Concepts #028</video:title>
<video:description>Walking downhill ends in the valley you start in, not the deepest. Learn what a local minimum is, how the start decides it, and why big networks worry less.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/aukceW7tLTqhkyzPgPGb/story/video.2e6d6934.mp4</video:content_loc>
<video:duration>24</video:duration>
<video:publication_date>2026-10-01T04:03:06.758Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/condition-number</loc>
<lastmod>2026-09-30T22:02:06.700Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/9MNUmLU7VsWM0MjAUpeh/story/cover.a661c4b6.jpg</video:thumbnail_loc>
<video:title>Condition number: why a stretched valley makes AI training crawl — AI Concepts #027</video:title>
<video:description>A long, narrow error valley forces tiny steps and slow learning. See what the condition number measures and why centring data cut 79,513 steps to 10.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/9MNUmLU7VsWM0MjAUpeh/story/video.a7865493.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-09-30T22:02:06.700Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/learning-rate</loc>
<lastmod>2026-09-30T16:01:12.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/Kuhl2nZrdZ0XOxKDYSaS/story/cover.76d532cb.jpg</video:thumbnail_loc>
<video:title>Learning rate: the step size with a ceiling you can calculate — AI Concepts #026</video:title>
<video:description>Too small is slow, just right lands fast, and past an exact limit training blows up. Learn what the learning rate is and how its ceiling is calculated.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/Kuhl2nZrdZ0XOxKDYSaS/story/video.4b52f00f.mp4</video:content_loc>
<video:duration>26</video:duration>
<video:publication_date>2026-09-30T16:01:12.579Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/gradient-descent</loc>
<lastmod>2026-09-30T10:01:05.233Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/2mGqd1wfl7zjMZx88Hui/story/cover.919b9255.jpg</video:thumbnail_loc>
<video:title>Gradient descent: how AI finds its way downhill in small steps — AI Concepts #025</video:title>
<video:description>Instead of trying every setting, an AI steps against the slope of its error and repeats. Learn how gradient descent works, and why too big a step backfires.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/2mGqd1wfl7zjMZx88Hui/story/video.3cc02281.mp4</video:content_loc>
<video:duration>24</video:duration>
<video:publication_date>2026-09-30T10:01:05.233Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/gradient</loc>
<lastmod>2026-09-30T04:00:39.818Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/4CtTkFde9Jv5MF2Ren9p/story/cover.7f2d3aae.jpg</video:thumbnail_loc>
<video:title>Gradient: the arrow that points uphill, and why AI walks the other way — AI Concepts #024</video:title>
<video:description>The gradient combines the slope of every setting into one arrow. Learn why it points where the error rises fastest, and why AI steps the opposite way.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/4CtTkFde9Jv5MF2Ren9p/story/video.996fb1df.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-09-30T04:00:39.818Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/chain-rule</loc>
<lastmod>2026-09-29T22:04:06.131Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/RRC5QrC5ZPfyZUhtz7Di/story/cover.648de0f8.jpg</video:thumbnail_loc>
<video:title>Chain rule: how AI traces the effect of every layer — AI Concepts #023</video:title>
<video:description>When one change drives another, which drives a third, the rates multiply. Learn the chain rule, the idea that lets AI trace how each layer shapes the result.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/RRC5QrC5ZPfyZUhtz7Di/story/video.f79d48c8.mp4</video:content_loc>
<video:duration>23</video:duration>
<video:publication_date>2026-09-29T22:04:06.131Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/derivative</loc>
<lastmod>2026-09-29T16:03:14.184Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/jU1SCYoJbzJNuhYxDinv/story/cover.60cad28e.jpg</video:thumbnail_loc>
<video:title>Derivative: how much the result moves when you nudge one input — AI Concepts #022</video:title>
<video:description>A derivative measures how fast a result changes when you nudge an input. Learn how AI uses it, and why a nudge that is too tiny gives a worse answer.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/jU1SCYoJbzJNuhYxDinv/story/video.322dcdb9.mp4</video:content_loc>
<video:duration>24</video:duration>
<video:publication_date>2026-09-29T16:03:14.184Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/grid-search</loc>
<lastmod>2026-09-29T10:02:08.464Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/CQVxgwwqxHUj27zVGblN/story/cover.2e886c63.jpg</video:thumbnail_loc>
<video:title>Grid search: why you cannot train an AI by trying every setting — AI Concepts #021</video:title>
<video:description>Trying every combination finds the best settings for a tiny model. Here is why each extra setting multiplies the work until search becomes impossible.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/CQVxgwwqxHUj27zVGblN/story/video.f2d3990a.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-09-29T10:02:08.464Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/robust-loss</loc>
<lastmod>2026-09-29T04:01:05.181Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/xtjreS2Su2KhfukdySpi/story/cover.29a5014c.jpg</video:thumbnail_loc>
<video:title>Robust loss: stop one wild reading from wrecking your forecast — AI Concepts #020</video:title>
<video:description>One bad measurement can push a standard fit hours off. Learn how a robust loss still counts it without letting it decide, with a worked factory example.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/xtjreS2Su2KhfukdySpi/story/video.e50f08a3.mp4</video:content_loc>
<video:duration>26</video:duration>
<video:publication_date>2026-09-29T04:01:05.181Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/heavy-tailed-noise</loc>
<lastmod>2026-09-28T22:00:07.482Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/8fYEBKZKbuem8rFeked4/story/cover.d965a495.jpg</video:thumbnail_loc>
<video:title>Heavy tails: when rare, huge errors break the usual average — AI Concepts #019</video:title>
<video:description>Some errors are tiny almost always, then suddenly enormous. Learn what heavy-tailed noise is, how to spot it, and why the usual averages stop working.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/8fYEBKZKbuem8rFeked4/story/video.d00867a9.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-09-28T22:00:07.482Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/mean-squared-error</loc>
<lastmod>2026-09-28T18:04:05.619Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/c9PqNFot6ICxqnxtaBYy/story/cover.91f9af7c.jpg</video:thumbnail_loc>
<video:title>Mean squared error: the hidden bet behind squaring your mistakes — AI Concepts #018</video:title>
<video:description>Squaring errors is not just a habit. Learn what mean squared error quietly assumes about your data, when that bet pays off, and when it misleads you.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/c9PqNFot6ICxqnxtaBYy/story/video.4e7ab458.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-09-28T18:04:05.619Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/logsumexp-trick</loc>
<lastmod>2026-09-28T12:03:10.207Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/jzBvHY3sY3Q9DsWn7i2U/story/cover.e61c158d.jpg</video:thumbnail_loc>
<video:title>The LogSumExp trick: one subtraction that stops AI math overflowing — AI Concepts #017</video:title>
<video:description>Some AI formulas produce numbers too big for a computer to hold. Learn how subtracting the largest value first gives the exact same answer, with no crash.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/jzBvHY3sY3Q9DsWn7i2U/story/video.8525f772.mp4</video:content_loc>
<video:duration>23</video:duration>
<video:publication_date>2026-09-28T12:03:10.207Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/floating-point-rounding-error</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/8tN8y7vWHODs5FcHvuWu/story/cover.6d181fcc.jpg</video:thumbnail_loc>
<video:title>Rounding error: why adding the same numbers can give two answers — AI Concepts #016</video:title>
<video:description>Add a million numbers in two different orders and a computer returns two totals, both wrong. Learn why every sum rounds, and why even chatbots feel it.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/8tN8y7vWHODs5FcHvuWu/story/video.a76e45c6.mp4</video:content_loc>
<video:duration>24</video:duration>
<video:publication_date>2026-09-28T05:02:30.271Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/floating-point-numbers</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/t4cTCgqaawtiu77b3mFJ/story/cover.5929ce26.jpg</video:thumbnail_loc>
<video:title>Floating-point numbers: why your computer cannot hold every number — AI Concepts #015</video:title>
<video:description>A computer number has a fixed budget of bits, split between detail and range. Learn how that split works and why two 16-bit formats fail so differently.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/t4cTCgqaawtiu77b3mFJ/story/video.1071749b.mp4</video:content_loc>
<video:duration>26</video:duration>
<video:publication_date>2026-09-27T18:02:21.209Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/negative-log-likelihood</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/5EyzzidJV55P7w8QoqRF/story/cover.0faca505.jpg</video:thumbnail_loc>
<video:title>Negative log-likelihood: turning a fragile product into a calm sum — AI Concepts #014</video:title>
<video:description>Multiplying thousands of chances breaks a computer. Taking logarithms turns the product into a sum with the same winner, and squared error falls out of it.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/5EyzzidJV55P7w8QoqRF/story/video.0f51e411.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-09-27T12:01:13.574Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/maximum-likelihood</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/imiK5jBZj3oqIoY3rsb5/story/cover.f616a231.jpg</video:thumbnail_loc>
<video:title>Maximum likelihood: the answer that makes your data least surprising — AI Concepts #013</video:title>
<video:description>Maximum likelihood picks the answer under which what you actually observed looks least surprising. A plain guide with a coin, a bell curve and real numbers.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/imiK5jBZj3oqIoY3rsb5/story/video.39ea0663.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-09-27T05:01:13.388Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/bayes-rule</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/OYrzDIEmbRO8pFt0ZwU7/story/cover.1118cea8.jpg</video:thumbnail_loc>
<video:title>Bayes&apos; rule: reasoning backwards from a clue to its most likely cause — AI Concepts #012</video:title>
<video:description>Rain wets streets, but does a wet street mean rain? Bayes&apos; rule flips the question and weighs how common each cause is. A plain guide with one worked example.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/OYrzDIEmbRO8pFt0ZwU7/story/video.589997d8.mp4</video:content_loc>
<video:duration>24</video:duration>
<video:publication_date>2026-09-26T18:00:58.779Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/chain-rule-of-probability</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/kKvGtiptcqLPYYqavxoG/story/cover.4b617a4e.jpg</video:thumbnail_loc>
<video:title>Chain rule of probability: how AI scores a sentence word by word — AI Concepts #011</video:title>
<video:description>The chance of a whole sentence is the chance of each word given the words before it, multiplied together. Why this exact rule sits under language models.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/kKvGtiptcqLPYYqavxoG/story/video.b0e56ae4.mp4</video:content_loc>
<video:duration>24</video:duration>
<video:publication_date>2026-09-26T12:04:20.335Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/loss-landscape</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/feLHGsq64jRIhjd4gdDw/story/cover.7569a511.jpg</video:thumbnail_loc>
<video:title>Loss landscape: training an AI means finding the bottom of a valley — AI Concepts #010</video:title>
<video:description>Score a model at every possible setting and its errors form a landscape. Here is why a smooth valley tells training which way is downhill, and a staircase does not.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/feLHGsq64jRIhjd4gdDw/story/video.1ac3d785.mp4</video:content_loc>
<video:duration>23</video:duration>
<video:publication_date>2026-09-26T05:04:19.399Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/loss-function</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/dUP22LSZ35PcZ0NNRqaJ/story/cover.b82420ee.jpg</video:thumbnail_loc>
<video:title>Loss function: the scoring rule that decides which answer wins — AI Concepts #009</video:title>
<video:description>A loss function turns a model&apos;s mistakes into one score. Swap the rule and a different answer wins, which is why choosing it means defining the problem.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/dUP22LSZ35PcZ0NNRqaJ/story/video.4190f47a.mp4</video:content_loc>
<video:duration>24</video:duration>
<video:publication_date>2026-09-25T18:03:23.364Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/feature-engineering</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/HlKkScZKA7yo1kZQwqjv/story/cover.8d701678.jpg</video:thumbnail_loc>
<video:title>Feature engineering: the human choice that can beat the algorithm — AI Concepts #008</video:title>
<video:description>Before a model learns anything, someone decides what to measure. Learn what feature engineering is, why it can outweigh the algorithm, and what replaced it.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/HlKkScZKA7yo1kZQwqjv/story/video.abe1b5b9.mp4</video:content_loc>
<video:duration>22</video:duration>
<video:publication_date>2026-09-25T12:01:11.177Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/xor-problem</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/rb3jOLFRIlXXH3NersKq/story/cover.339974c8.jpg</video:thumbnail_loc>
<video:title>The XOR problem: four dots no straight line can separate — AI Concepts #007</video:title>
<video:description>Why a single perceptron, one of the simplest learning programs, can never learn &quot;exclusive or&quot;, what it does when trained anyway, and what finally fixed it.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/rb3jOLFRIlXXH3NersKq/story/video.898acfa9.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-09-25T05:00:31.988Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/input-normalization</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/3PpVRmFL3XqWM1wR6vrh/story/cover.8e2aecff.jpg</video:thumbnail_loc>
<video:title>Input normalization: three lines of code, 6,000 times faster training — AI Concepts #006</video:title>
<video:description>Subtracting the average from your data let the same simple model train in 2 passes instead of 11,976. Learn why moving the zero point helps so much.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/3PpVRmFL3XqWM1wR6vrh/story/video.300efff4.mp4</video:content_loc>
<video:duration>23</video:duration>
<video:publication_date>2026-09-24T18:04:17.757Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/perceptron-convergence-theorem</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/KPbEbaOROxAYZVXsp8mJ/story/cover.4c24a251.jpg</video:thumbnail_loc>
<video:title>Convergence theorem: guaranteed to finish, silent about when — AI Concepts #005</video:title>
<video:description>A classic theorem promises a simple AI learner will find its answer, if one exists. Learn why it says nothing about time, and what decides how long it takes.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/KPbEbaOROxAYZVXsp8mJ/story/video.8a51fd61.mp4</video:content_loc>
<video:duration>25</video:duration>
<video:publication_date>2026-09-24T12:04:16.746Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/perceptron-learning-rule</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/PtTGZVS14uzy892LTKD1/story/cover.b5801e97.jpg</video:thumbnail_loc>
<video:title>Learning from mistakes: the perceptron rule that only moves when wrong — AI Concepts #004</video:title>
<video:description>How a perceptron learns: change nothing when right, nudge toward the answer when wrong. Why that nudge is justified, and why it needs no calculus at all.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/PtTGZVS14uzy892LTKD1/story/video.ca3099c4.mp4</video:content_loc>
<video:duration>23</video:duration>
<video:publication_date>2026-09-24T05:04:15.429Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/dot-product</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/LFScNSsHG3DihjakJRNC/story/cover.95863643.jpg</video:thumbnail_loc>
<video:title>Dot product: the multiply-and-add step at the heart of AI&apos;s math — AI Concepts #003</video:title>
<video:description>The dot product multiplies two lists of numbers pair by pair and adds them up. See it on a shopping receipt first, then inside every neural network layer.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/LFScNSsHG3DihjakJRNC/story/video.55aac1bc.mp4</video:content_loc>
<video:duration>23</video:duration>
<video:publication_date>2026-09-23T18:04:14.558Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/decision-boundary</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/HlcQHNKCUuth2fJoauD5/story/cover.0a29f9d9.jpg</video:thumbnail_loc>
<video:title>Decision boundary: the line a simple model draws between yes and no — AI Concepts #002</video:title>
<video:description>A decision boundary is where a simple AI model cannot make up its mind. See how the weights set the line&apos;s angle, the bias slides it, and training moves it.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/HlcQHNKCUuth2fJoauD5/story/video.5c4fdaeb.mp4</video:content_loc>
<video:duration>22</video:duration>
<video:publication_date>2026-09-23T12:04:10.590Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/perceptron</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/TxTERoReVwQJG5wn3hYo/story/cover.516d0283.jpg</video:thumbnail_loc>
<video:title>Perceptron: the yes-or-no model every neural network grew from — AI Concepts #001</video:title>
<video:description>What a perceptron is, how it turns a few measurements into a yes or a no, and how the same data took 29,870 corrections raw but just one once centred.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/TxTERoReVwQJG5wn3hYo/story/video.72877d93.mp4</video:content_loc>
<video:duration>47</video:duration>
<video:publication_date>2026-09-23T05:03:14.755Z</video:publication_date>
<video:tag>AI Concepts</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/embeddings</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/fmnAuF0P9xCudSF75k97/story/cover.afb10bfd.jpg</video:thumbnail_loc>
<video:title>Embeddings: why a puppy lands closer to a dog than to a pizza — AI 101 #06</video:title>
<video:description>Embeddings turn words into points so related words end up near each other. See how that is learned, and why the famous king-to-queen trick is weaker than it looks.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/fmnAuF0P9xCudSF75k97/story/video.2b6ec970.mp4</video:content_loc>
<video:duration>20</video:duration>
<video:publication_date>2026-09-22T18:02:16.019Z</video:publication_date>
<video:tag>AI 101</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/tokens</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/lhv5iLhZk3Re62PnOyLJ/story/cover.739ca932.jpg</video:thumbnail_loc>
<video:title>Tokens: how AI chops your words into numbered pieces — AI 101 #05</video:title>
<video:description>Chatbots never see your words, only numbered pieces called tokens. Learn how text gets split, why long words break apart, and why it changes what you pay.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/lhv5iLhZk3Re62PnOyLJ/story/video.df6c95d1.mp4</video:content_loc>
<video:duration>20</video:duration>
<video:publication_date>2026-09-22T12:02:14.676Z</video:publication_date>
<video:tag>AI 101</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/how-ai-learns</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/AZUlag3ljW3OG0FL0yKK/story/cover.112f7cb9.jpg</video:thumbnail_loc>
<video:title>How AI learns: guess, measure the error, nudge, repeat — AI 101 #04</video:title>
<video:description>AI learns by guessing, measuring how wrong it was and nudging its internal knobs, over and over. Here is that loop in plain words, with a guitar example.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/AZUlag3ljW3OG0FL0yKK/story/video.b0628654.mp4</video:content_loc>
<video:duration>20</video:duration>
<video:publication_date>2026-09-22T05:02:15.327Z</video:publication_date>
<video:tag>AI 101</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/neural-networks</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/VGC9hQ0V0OPQ0yaNQFJ0/story/cover.b23b25f3.jpg</video:thumbnail_loc>
<video:title>Neural networks: layers of tiny calculators passing signals on — AI 101 #03</video:title>
<video:description>A neural network is layers of simple neurons passing numbers forward. See what one neuron really computes, and why layers solve what a single line cannot.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/VGC9hQ0V0OPQ0yaNQFJ0/story/video.35604647.mp4</video:content_loc>
<video:duration>20</video:duration>
<video:publication_date>2026-09-21T17:05:57.905Z</video:publication_date>
<video:tag>AI 101</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/machine-learning</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/LUn5aOGflHJEkVZugtAB/story/cover.4e19ed8c.jpg</video:thumbnail_loc>
<video:title>Machine learning: how a computer draws its own dividing line — AI 101 #02</video:title>
<video:description>Nobody writes the rule: the computer draws a line between examples, checks its mistakes and nudges the line, then uses it to sort new cases. Here is how.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/LUn5aOGflHJEkVZugtAB/story/video.d5c8b1c6.mp4</video:content_loc>
<video:duration>20</video:duration>
<video:publication_date>2026-09-21T09:22:22.124Z</video:publication_date>
<video:tag>AI 101</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
<url>
<loc>https://www.neuralialabs.com/en/videos/what-is-ai</loc>
<lastmod>2026-09-28T06:16:17.579Z</lastmod>
<video:video>
<video:thumbnail_loc>https://storage.neuralialabs.com/social/5G2REV2S8O0Wn1aSsVKH/story/cover.0a00dcab.jpg</video:thumbnail_loc>
<video:title>What is AI? Software that learns its own rules from examples — AI 101 #01</video:title>
<video:description>Regular software follows rules that someone wrote. Modern AI learns them from examples instead. Here is what that swap means, with a handwriting example.</video:description>
<video:content_loc>https://storage.neuralialabs.com/social/5G2REV2S8O0Wn1aSsVKH/story/video.d46cda71.mp4</video:content_loc>
<video:duration>20</video:duration>
<video:publication_date>2026-09-21T07:02:18.277Z</video:publication_date>
<video:tag>AI 101</video:tag>
<video:family_friendly>yes</video:family_friendly>
<video:uploader info="https://www.neuralialabs.com/en/videos">NeuraLIA Labs</video:uploader>
</video:video>
</url>
</urlset>
