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    <title>AI Geek Programmer — latest articles</title>
    <link>https://aigeekprogrammer.com/</link>
    <description>Machine learning, computer vision and artificial intelligence.</description>
    <language>en</language>
    <item>
      <title>Crafting Text Generators: A Dive into Transformer Architecture</title>
      <link>https://aigeekprogrammer.com/crafting-text-generators-a-dive-into-transformer-architecture/</link>
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      <pubDate>Sat, 19 Aug 2023 16:10:55 GMT</pubDate>
      <description>A small decoder-based language model. Or how to use part of the Transformer architecture to generate text resembling a well-known literary work (Pytorch).</description>
    </item>
    <item>
      <title>Fine-tuning with limited hardware resources</title>
      <link>https://aigeekprogrammer.com/fine-tuning-with-peft-lora-quantization/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/fine-tuning-with-peft-lora-quantization/</guid>
      <pubDate>Mon, 26 Jun 2023 15:29:31 GMT</pubDate>
      <description>Efficient fine-tuning of a large language model in Google Colab using PEFT, LoRa and quantization (base model: RedPajama INCITE Chat 3B)</description>
    </item>
    <item>
      <title>Welcome tomorrow - how AI will shape the world by 2032</title>
      <link>https://aigeekprogrammer.com/welcome-tomorrow-how-ai-will-shape-the-world-by-2032/</link>
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      <pubDate>Sat, 17 Dec 2022 15:19:13 GMT</pubDate>
      <description>Some of my thoughts and predictions on how AI will change the world in the next 10 years.</description>
    </item>
    <item>
      <title>PyTorch: dividing dataset, transformations, training on GPU and metric visualization</title>
      <link>https://aigeekprogrammer.com/pytorch-dataset-division-transformations-gpu-metric-visualization/</link>
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      <pubDate>Sun, 10 Apr 2022 08:27:51 GMT</pubDate>
      <description>Practical tips on dividing a dataset for training, validation and testing, applying transformations, moving to a GPU and metrics visualization.</description>
    </item>
    <item>
      <title>Data preparation with Dataset and DataLoader in Pytorch</title>
      <link>https://aigeekprogrammer.com/data-preparation-with-dataset-and-dataloader-in-pytorch/</link>
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      <pubDate>Fri, 03 Sep 2021 11:02:51 GMT</pubDate>
      <description>How to use Dataset and DataLoader classes to prepare data for machine learning in PyTorch</description>
    </item>
    <item>
      <title>YOLO fast object detection and classification</title>
      <link>https://aigeekprogrammer.com/yolo-fast-object-detection-and-classification/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/yolo-fast-object-detection-and-classification/</guid>
      <pubDate>Fri, 04 Jun 2021 20:20:24 GMT</pubDate>
      <description>YOLO fast object detection and classification. Brief introduction to the YOLO algorithm plus installation tips for Ubuntu.</description>
    </item>
    <item>
      <title>Artificial intelligence and blockchain</title>
      <link>https://aigeekprogrammer.com/artificial-intelligence-and-blockchain/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/artificial-intelligence-and-blockchain/</guid>
      <pubDate>Sat, 14 Nov 2020 16:07:42 GMT</pubDate>
      <description>Artificial intelligence and blockchain are potentially an explosive mix. Both are changing our world of tomorrow. I check if they can do it together.</description>
    </item>
    <item>
      <title>Artificial intelligence - a few key concepts</title>
      <link>https://aigeekprogrammer.com/artificial-intelligence-a-few-key-concepts/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/artificial-intelligence-a-few-key-concepts/</guid>
      <pubDate>Tue, 25 Aug 2020 20:43:00 GMT</pubDate>
      <description>This article is for everyone who needs to organize some key concepts in the field of artificial intelligence and machine learning. Read on!</description>
    </item>
    <item>
      <title>k-nearest neighbors for handwriting recognition</title>
      <link>https://aigeekprogrammer.com/k-nearest-neighbors-handwriting-recognition/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/k-nearest-neighbors-handwriting-recognition/</guid>
      <pubDate>Mon, 18 May 2020 19:37:19 GMT</pubDate>
      <description>Not only simple and efficient, but working extremely well in surprisingly many areas of application. K-nearest neighbors - can it handle handwriting?</description>
    </item>
    <item>
      <title>Anaconda cron on Amazon Linux</title>
      <link>https://aigeekprogrammer.com/anaconda-cron-on-amazon-linux/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/anaconda-cron-on-amazon-linux/</guid>
      <pubDate>Sat, 14 Mar 2020 16:10:00 GMT</pubDate>
      <description>Running Python as a cron in the Amazon Linux environment - a simple recipe how to configure anaconda cron quickly on amazon linux AWS</description>
    </item>
    <item>
      <title>Convolutional neural network 4: data augmentation</title>
      <link>https://aigeekprogrammer.com/convolutional-neural-network-4-data-augmentation/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/convolutional-neural-network-4-data-augmentation/</guid>
      <pubDate>Sat, 14 Mar 2020 12:39:24 GMT</pubDate>
      <description>Data augmentation - train a neural network with data generators. The last part of the tutorial on convolutional neural networks.</description>
    </item>
    <item>
      <title>Convolutional neural network 3: convnets and overfitting</title>
      <link>https://aigeekprogrammer.com/convnets-and-overfitting/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/convnets-and-overfitting/</guid>
      <pubDate>Fri, 31 Jan 2020 20:46:28 GMT</pubDate>
      <description>Convnets and overfitting - the third part of a practical tutorial. Regularization techniques and practical tips for building convolutional networks.</description>
    </item>
    <item>
      <title>Convolutional neural network 2: architecture</title>
      <link>https://aigeekprogrammer.com/convolutional-neural-network-image-recognition-part-2/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/convolutional-neural-network-image-recognition-part-2/</guid>
      <pubDate>Wed, 25 Dec 2019 17:02:57 GMT</pubDate>
      <description>Convolutional neural network - everything you would like to know about ConvNets, but were afraid to ask ;-). Comprehensive multipart tutorial: part 2</description>
    </item>
    <item>
      <title>Convolutional neural network 1: convolutions</title>
      <link>https://aigeekprogrammer.com/convolutional-neural-network-image-recognition-part-1/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/convolutional-neural-network-image-recognition-part-1/</guid>
      <pubDate>Sun, 24 Nov 2019 19:02:35 GMT</pubDate>
      <description>Convolutional neural network - everything you would like to know about ConvNets, but were afraid to ask ;-). Comprehensive multipart tutorial: part 1.</description>
    </item>
    <item>
      <title>Naive Bayes in machine learning</title>
      <link>https://aigeekprogrammer.com/naive-bayes-in-machine-learning/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/naive-bayes-in-machine-learning/</guid>
      <pubDate>Sat, 02 Nov 2019 13:09:15 GMT</pubDate>
      <description>Why is Naive Bayes so naive in machine learning? A step-by-step explanation for one of the popular and effective classifiers.</description>
    </item>
    <item>
      <title>Development environment for machine learning</title>
      <link>https://aigeekprogrammer.com/development-environment-for-machine-learning/</link>
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      <pubDate>Sun, 20 Oct 2019 17:17:57 GMT</pubDate>
      <description>How to build your local development environment for machine learning and specyfically Tensorflow using Anaconda, conda and pip.</description>
    </item>
    <item>
      <title>Logistic regression and Keras for classification</title>
      <link>https://aigeekprogrammer.com/binary-classification-using-logistic-regression-and-keras/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/binary-classification-using-logistic-regression-and-keras/</guid>
      <pubDate>Mon, 14 Oct 2019 19:39:48 GMT</pubDate>
      <description>In this tutoarial, you will learn how to use logistic regression and Keras to do a simple binary classification.</description>
    </item>
    <item>
      <title>Handwritten Digit Recognition with Keras</title>
      <link>https://aigeekprogrammer.com/keras-python-mnist-handwritten-digit-recognition/</link>
      <guid isPermaLink="true">https://aigeekprogrammer.com/keras-python-mnist-handwritten-digit-recognition/</guid>
      <pubDate>Fri, 30 Aug 2019 17:21:03 GMT</pubDate>
      <description>Tutorial on handwritten digit recognition using Keras, Tensorflow and Python. Step-by-step instructions and coding. Thorough explanations.</description>
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