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    <title>Atlas: new terms</title>
    <link>https://cmaintz.github.io/tech-atlas/en/</link>
    <description>Terms newly added to Atlas, the bilingual technical dictionary.</description>
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    <item>
      <title>Activation function</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/activation-function/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>The rule each unit in a neural network applies to its summed input, letting the network learn curved rather than straight patterns.</description>
    </item>
    <item>
      <title>Bias-variance trade-off</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/bias-variance-tradeoff/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>The tension between a model too simple to catch the real pattern and one so flexible that it chases chance details in its examples.</description>
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    <item>
      <title>Cross-validation</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/cross-validation/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>Checking a model fairly by splitting the examples into parts and letting each part in turn be the one held back for testing.</description>
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    <item>
      <title>Data drift</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/data-drift/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>The slow or sudden change in real-world data after a model goes live, so it no longer looks like what the model learned from.</description>
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    <item>
      <title>Decision tree</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/decision-tree/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>A model that reaches an answer by asking a chain of yes or no questions about the input, each answer leading to the next question.</description>
    </item>
    <item>
      <title>Dimensionality reduction</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/dimensionality-reduction/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>Squeezing many inputs about each example into a few new ones that keep most of what tells the examples apart.</description>
    </item>
    <item>
      <title>Feature</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/feature/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>One measurable fact about an example, such as a price or an age, that a model reads as input when it makes a guess.</description>
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    <item>
      <title>Feature engineering</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/feature-engineering/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>Turning raw records into useful inputs for a model, by picking, cleaning, combining and reshaping the facts it will read.</description>
    </item>
    <item>
      <title>Gradient boosting</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/gradient-boosting/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>A method that adds small decision trees one after another, each built to fix the mistakes the trees before it still make.</description>
    </item>
    <item>
      <title>k-means clustering</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/k-means/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>A method that splits data into a chosen number of groups by moving each group&apos;s centre until every point sits with its nearest centre.</description>
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    <item>
      <title>Label</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/label/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>The right answer attached to a training example, such as &quot;spam&quot; or a sale price, that a model learns to give on its own.</description>
    </item>
    <item>
      <title>Learning rate</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/learning-rate/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>The setting that decides how big a step a model takes each time it adjusts itself to make fewer mistakes during learning.</description>
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    <item>
      <title>Linear regression</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/linear-regression/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>A simple model that predicts a number by adding up each input times its own weight, choosing the weights that fit past examples best.</description>
    </item>
    <item>
      <title>Logistic regression</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/logistic-regression/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>A simple model that sorts cases into two groups by turning a weighted sum of the inputs into a chance between 0 and 1.</description>
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    <item>
      <title>Random forest</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/random-forest/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>A model that builds many slightly different decision trees on random parts of the data and lets them vote on the answer.</description>
    </item>
    <item>
      <title>Regularization</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/regularization/</link>
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      <pubDate>Fri, 25 Sep 2026 19:17:37 GMT</pubDate>
      <description>Any rule added during learning that holds a model back from fitting its examples too closely, so it does better on new cases.</description>
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    <item>
      <title>Accuracy</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/accuracy/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>The share of all cases a model gets right; simple to read, but it can look excellent when the thing you care about is rare.</description>
    </item>
    <item>
      <title>Agent instructions file</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/agent-instructions-file/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>A plain text file kept with the code that tells AI tools the project&apos;s rules, commands and habits before they start work.</description>
    </item>
    <item>
      <title>Agent memory</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/agent-memory/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Notes an AI agent saves outside the model and reads back later, so it can carry facts and past work from one chat to the next.</description>
    </item>
    <item>
      <title>Agent sandbox</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/agent-sandbox/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>A walled-off space where an AI agent runs code and uses tools, so a mistake or trick cannot reach the rest of your systems.</description>
    </item>
    <item>
      <title>Agent2Agent protocol (A2A)</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/agent-to-agent-protocol/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>An open standard that lets AI agents built by different companies find each other, hand over tasks and share results.</description>
    </item>
    <item>
      <title>Agentic workflow</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/agentic-workflow/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>A fixed chain of steps written in code, where a language model does some of the steps but does not choose the order.</description>
    </item>
    <item>
      <title>AI code review</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/ai-code-review/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Using a large language model to read proposed code changes and leave comments on bugs, risks and style before a person approves them.</description>
    </item>
    <item>
      <title>AI coding assistant</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/ai-coding-assistant/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>A tool built into a programmer&apos;s editor that suggests, explains and rewrites code using a large language model.</description>
    </item>
    <item>
      <title>AI pair programming</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/ai-pair-programming/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Writing code together with an AI tool in a running back-and-forth, where the human stays in charge and checks every change.</description>
    </item>
    <item>
      <title>AI supply chain attack</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/ai-supply-chain-attack/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Attacking the ready-made parts an AI system is built from - shared models, datasets or plug-in files - instead of the system itself.</description>
    </item>
    <item>
      <title>AI alignment</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/alignment/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>The work of making an AI system aim for what people actually intend, and refuse what they would not accept.</description>
    </item>
    <item>
      <title>Attention mechanism</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/attention-mechanism/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>The step inside a model that decides, for each token, which other tokens in the input matter most right now.</description>
    </item>
    <item>
      <title>Backpropagation</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/backpropagation/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>The bookkeeping method that works out, layer by layer from the output back, how much each weight in a network added to its mistake.</description>
    </item>
    <item>
      <title>Batch size</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/batch-size/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>How many examples a model looks at together before it updates itself once during model training.</description>
    </item>
    <item>
      <title>Benchmark</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/benchmark/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>A shared, public set of tasks with a fixed way of scoring, so that different models can be compared on the same terms.</description>
    </item>
    <item>
      <title>Chain-of-thought (CoT)</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/chain-of-thought/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Getting a language model to write out its steps before the final answer, which tends to help on sums, logic and planning.</description>
    </item>
    <item>
      <title>Chunking</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/chunking/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Cutting long documents into smaller passages before storing them, so a search can return just the part that answers a question.</description>
    </item>
    <item>
      <title>Classification</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/classification/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Teaching a computer to sort each new case into one of a fixed set of groups, such as approve or reject, or real attack or false alarm.</description>
    </item>
    <item>
      <title>Clustering</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/clustering/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Letting a computer put similar items into groups by itself, with no names or right answers given in advance.</description>
    </item>
    <item>
      <title>Code completion</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/code-completion/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Greyed-out code that appears as you type, predicting the next line or block so you can accept it with one key.</description>
    </item>
    <item>
      <title>Coding agent</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/coding-agent/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>An AI that is given a programming task and carries it out itself - reading files, running commands and editing code until done.</description>
    </item>
    <item>
      <title>Computer use</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/computer-use/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Letting an AI agent work a computer like a person does - it looks at pictures of the screen and moves the mouse and types.</description>
    </item>
    <item>
      <title>Confusion matrix</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/confusion-matrix/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>A small table that counts, for every true class, how often a model gave each answer, showing exactly which mistakes it makes.</description>
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    <item>
      <title>Context engineering</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/context-engineering/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Choosing all a language model gets to see for a task - instructions, fetched documents, tool results, notes - not just the wording.</description>
    </item>
    <item>
      <title>Convolutional neural network (CNN)</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/convolutional-neural-network/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>A neural network built for pictures - it slides small pattern checks across an image to find edges, then shapes, then whole objects.</description>
    </item>
    <item>
      <title>Cosine similarity</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/cosine-similarity/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>A score from -1 to 1 for how closely two lists of numbers point the same way, used to tell how alike two embeddings are in meaning.</description>
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      <title>Data labeling</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/data-labeling/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Having people (or tools) attach the right answer to each example, such as “cat”, “complaint” or “angry”, so a model can learn from it.</description>
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    <item>
      <title>Decoder</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/decoder/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>The half of a model that writes output one token at a time, each new token based only on what came before it.</description>
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    <item>
      <title>Diffusion model</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/diffusion-model/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>The kind of generative AI behind many image makers, which starts from random static and cleans it up step by step into a picture.</description>
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    <item>
      <title>Embedding model</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/embedding-model/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>A model that reads a piece of text and gives back an embedding instead of writing an answer.</description>
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      <title>Encoder</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/encoder/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>The half of a model that reads the whole input at once and turns it into embeddings that capture its meaning.</description>
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      <title>Epoch</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/epoch/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>One complete pass of model training through every example in the training data; training often runs for several.</description>
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      <title>Excessive agency</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/excessive-agency/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>Giving an AI system more tools, rights or freedom to act than its job needs, so one wrong or tricked step can do real damage.</description>
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      <title>F1 score</title>
      <link>https://cmaintz.github.io/tech-atlas/en/terms/ai/f1-score/</link>
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      <pubDate>Thu, 24 Sep 2026 23:56:38 GMT</pubDate>
      <description>One number that blends precision and recall, so it stays low unless a model both finds the real cases and avoids wrong flags.</description>
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