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    <title>Kush Singh</title>
    <link>https://kush-singh-26.github.io</link>
    <description></description>
    <lastBuildDate>Mon, 16 Feb 2026 00:00:00 UTC</lastBuildDate>
    <image>
      <url>https://kush-singh-26.github.iostatic/images/logo.png</url>
      <title>Kush Singh</title>
      <link>https://kush-singh-26.github.io</link>
    </image>
    <item>
      <title>13. NLP: Positional Encodings</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-positional-encoding.html</link>
      <description>The transformer’s way of remembering who stood where, because attention without order is chaos with confidence.</description>
      <pubDate>Mon, 16 Feb 2026 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-positional-encoding.html</guid>
      <category>NLP</category>
      <category>Transformers</category>
    </item>
    <item>
      <title>4. ML: Confusion Matrix, Bias-Variance &amp; Regularization</title>
      <link>https://kush-singh-26.github.io/blogs/ml-confusion-matrix-regularization.html</link>
      <description>Model evaluation, bias-variance decomposition, and how regularization techniques constrain complexity.</description>
      <pubDate>Tue, 03 Feb 2026 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/ml-confusion-matrix-regularization.html</guid>
      <category>ML</category>
    </item>
    <item>
      <title>3. ML: Logistic Regression</title>
      <link>https://kush-singh-26.github.io/blogs/ml-logistic_regression.html</link>
      <description>Probabilistic power of Logistic Regression: A deep dive into its linear roots and sigmoid derivation.</description>
      <pubDate>Mon, 02 Feb 2026 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/ml-logistic_regression.html</guid>
      <category>ML</category>
    </item>
    <item>
      <title>2. ML: Linear Regression</title>
      <link>https://kush-singh-26.github.io/blogs/ml-linear_regression.html</link>
      <description>Mathematical art of drawing a straight line through a cloud of chaos and confidently calling it a prediction.</description>
      <pubDate>Mon, 02 Feb 2026 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/ml-linear_regression.html</guid>
      <category>ML</category>
    </item>
    <item>
      <title>1. ML: Basic Fundamentals</title>
      <link>https://kush-singh-26.github.io/blogs/ml-basics.html</link>
      <description>Building Blocks of Machine Learning</description>
      <pubDate>Fri, 30 Jan 2026 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/ml-basics.html</guid>
      <category>ML</category>
    </item>
    <item>
      <title>12. NLP: Embeddings</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-embeddings.html</link>
      <description>The Geometry of Meaning : Turning meaning into maths.</description>
      <pubDate>Mon, 05 Jan 2026 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-embeddings.html</guid>
      <category>NLP</category>
    </item>
    <item>
      <title>7. Maths4ML: Matrix Decomposition &amp; SVD</title>
      <link>https://kush-singh-26.github.io/blogs/maths-svd.html</link>
      <description>The Art of Mathematical Forgetting: How to throw away 90% of your data without losing the meaning.</description>
      <pubDate>Sat, 03 Jan 2026 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/maths-svd.html</guid>
      <category>Maths for ML</category>
    </item>
    <item>
      <title>6. Maths4ML: Determinants &amp; Eigenvectors</title>
      <link>https://kush-singh-26.github.io/blogs/maths-determinant-eigenvectors.html</link>
      <description>Finding the stillness inside the transformation.</description>
      <pubDate>Sat, 27 Dec 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/maths-determinant-eigenvectors.html</guid>
      <category>Maths for ML</category>
    </item>
    <item>
      <title>5. Maths4ML: Matrices</title>
      <link>https://kush-singh-26.github.io/blogs/maths-matrices.html</link>
      <description>Matrices are Machines, Not Just Grids</description>
      <pubDate>Thu, 25 Dec 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/maths-matrices.html</guid>
      <category>Maths for ML</category>
    </item>
    <item>
      <title>4. Maths4ML: Kernel Trick</title>
      <link>https://kush-singh-26.github.io/blogs/maths-kernel-trick.html</link>
      <description>The Kernel Trick - Folding Space. Why struggle to bend the line when you can just fold the space?</description>
      <pubDate>Tue, 23 Dec 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/maths-kernel-trick.html</guid>
      <category>Maths for ML</category>
    </item>
    <item>
      <title>3. Maths4ML: Dot Product</title>
      <link>https://kush-singh-26.github.io/blogs/maths-dot-product.html</link>
      <description>Shadows, Angles, and the Geometry of Sameness</description>
      <pubDate>Sun, 21 Dec 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/maths-dot-product.html</guid>
      <category>Maths for ML</category>
    </item>
    <item>
      <title>2. Maths4ML: Distances &amp; Norms</title>
      <link>https://kush-singh-26.github.io/blogs/maths-norms.html</link>
      <description>Measuring the gap - Rulers of ML</description>
      <pubDate>Thu, 18 Dec 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/maths-norms.html</guid>
      <category>Maths for ML</category>
    </item>
    <item>
      <title>1. Maths4ML: Vectors, Basis &amp; Spans</title>
      <link>https://kush-singh-26.github.io/blogs/maths-vector-basis-span.html</link>
      <description>The Building Blocks – Vectors, Basis &amp; Spans</description>
      <pubDate>Mon, 15 Dec 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/maths-vector-basis-span.html</guid>
      <category>Maths for ML</category>
    </item>
    <item>
      <title>11. NLP: Tokenizers</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-tokenization.html</link>
      <description>A detailed description about tokenizers in LLMs.</description>
      <pubDate>Sun, 07 Dec 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-tokenization.html</guid>
      <category>NLP</category>
    </item>
    <item>
      <title>Inference Engine</title>
      <link>https://kush-singh-26.github.io/blogs/inference_engine.html</link>
      <description>Building an infernece engine for machine translation transformer model in C++.</description>
      <pubDate>Mon, 24 Nov 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/inference_engine.html</guid>
      <category>Transformers</category>
    </item>
    <item>
      <title>10. NLP: Mixture of Experts (MOE)</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-moe.html</link>
      <description>A guide on MoEs, their history and implementation in transformers along with the losses associated with it.</description>
      <pubDate>Mon, 22 Sep 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-moe.html</guid>
      <category>NLP</category>
      <category>Transformers</category>
    </item>
    <item>
      <title>9. NLP: Optimizing Attention</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-attention-optimize.html</link>
      <description>A guide on KV-Caching along with Sliding Window Attention. Ending with MQA and GQA.</description>
      <pubDate>Tue, 05 Aug 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-attention-optimize.html</guid>
      <category>NLP</category>
      <category>Transformers</category>
    </item>
    <item>
      <title>8. NLP: BERT</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-bert.html</link>
      <description>A guide on BERT models and how their architecture.</description>
      <pubDate>Fri, 25 Jul 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-bert.html</guid>
      <category>NLP</category>
      <category>Transformers</category>
    </item>
    <item>
      <title>7. NLP: Transformer Implementation</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-transformer-implementation.html</link>
      <description>Implementation and trainig of Transformer for En-Hi machine translation task.</description>
      <pubDate>Fri, 18 Jul 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-transformer-implementation.html</guid>
      <category>NLP</category>
      <category>Transformers</category>
    </item>
    <item>
      <title>6. NLP: Transformers</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-transformer.html</link>
      <description>A complete guide to the transformer architecture, attention mechanisms, and positional encoding.</description>
      <pubDate>Sun, 22 Jun 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-transformer.html</guid>
      <category>NLP</category>
      <category>Transformers</category>
    </item>
    <item>
      <title>5. NLP: Attention</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-attention.html</link>
      <description>A guide on Attention mechanism for seq2seq models.</description>
      <pubDate>Wed, 28 May 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-attention.html</guid>
      <category>NLP</category>
    </item>
    <item>
      <title>4. NLP: Seq2Seq</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-seq2seq.html</link>
      <description>A guide on Seq2Seq models that changed machine translation task.</description>
      <pubDate>Mon, 19 May 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-seq2seq.html</guid>
      <category>NLP</category>
    </item>
    <item>
      <title>3. NLP: Pytorch for NLP</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-pytorch-for-nlp.html</link>
      <description>Some tips for working with PyTorch for NLP tasks</description>
      <pubDate>Sat, 10 May 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-pytorch-for-nlp.html</guid>
      <category>NLP</category>
    </item>
    <item>
      <title>2. NLP: LSTM &amp; GRU</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-lstm.html</link>
      <description>A guide on LSTM and GRU models and how they overcome limitations of RNNs.</description>
      <pubDate>Thu, 08 May 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-lstm.html</guid>
      <category>NLP</category>
    </item>
    <item>
      <title>1. NLP: Recurrent Neural Networks [RNN]</title>
      <link>https://kush-singh-26.github.io/blogs/nlp-rnn.html</link>
      <description>A guide on the first steps towards modern NLP.</description>
      <pubDate>Sun, 04 May 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nlp-rnn.html</guid>
      <category>NLP</category>
    </item>
    <item>
      <title>8. Computer Vision: Neural Style Transfer</title>
      <link>https://kush-singh-26.github.io/blogs/cv-neural-style-transfer.html</link>
      <description>Mini Project performing style transfer from a source image to a target image.</description>
      <pubDate>Fri, 28 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/cv-neural-style-transfer.html</guid>
      <category>Computer Vision</category>
    </item>
    <item>
      <title>7. Computer Vision: Instance Segmentation</title>
      <link>https://kush-singh-26.github.io/blogs/cv-instance-segmentation.html</link>
      <description>A small description on Instance Segmentation.</description>
      <pubDate>Thu, 27 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/cv-instance-segmentation.html</guid>
      <category>Computer Vision</category>
    </item>
    <item>
      <title>6. Computer Vision: Object Detection</title>
      <link>https://kush-singh-26.github.io/blogs/cv-object-detection.html</link>
      <description>A detailed description on Object Detection models.</description>
      <pubDate>Tue, 25 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/cv-object-detection.html</guid>
      <category>Computer Vision</category>
    </item>
    <item>
      <title>5. Computer Vision: Semantic Segmentation</title>
      <link>https://kush-singh-26.github.io/blogs/cv-semantic-segmentation.html</link>
      <description>A small guide on semantic segmentation of images.</description>
      <pubDate>Mon, 24 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/cv-semantic-segmentation.html</guid>
      <category>Computer Vision</category>
    </item>
    <item>
      <title>4. Computer Vision: Fine Tuning Models</title>
      <link>https://kush-singh-26.github.io/blogs/cv-fine-tuning.html</link>
      <description>A small guide on how to fine-tune pre-trained models.</description>
      <pubDate>Sat, 22 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/cv-fine-tuning.html</guid>
      <category>Computer Vision</category>
    </item>
    <item>
      <title>3. Computer Vision: Transfer Learning</title>
      <link>https://kush-singh-26.github.io/blogs/cv-transfer-learning.html</link>
      <description>A small guide on how transfer learning using pre-trained models.</description>
      <pubDate>Sat, 22 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/cv-transfer-learning.html</guid>
      <category>Computer Vision</category>
    </item>
    <item>
      <title>2. Computer Vision: Pre trained Models</title>
      <link>https://kush-singh-26.github.io/blogs/cv-pretrained.html</link>
      <description>A small guide on how to work with pre-trained models.</description>
      <pubDate>Sat, 22 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/cv-pretrained.html</guid>
      <category>Computer Vision</category>
    </item>
    <item>
      <title>1. Computer Vision: Architecture</title>
      <link>https://kush-singh-26.github.io/blogs/cv-architecture.html</link>
      <description>A description on working of CNNs.</description>
      <pubDate>Fri, 21 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/cv-architecture.html</guid>
      <category>Computer Vision</category>
    </item>
    <item>
      <title>6. Neural Nets: Regularization and Normalization</title>
      <link>https://kush-singh-26.github.io/blogs/nn-reg-norm.html</link>
      <description>Regularization Techniques.</description>
      <pubDate>Tue, 18 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nn-reg-norm.html</guid>
      <category>Neural-Net</category>
    </item>
    <item>
      <title>5. Neural Nets: Implementing MLP using PyTorch</title>
      <link>https://kush-singh-26.github.io/blogs/nn-mlp.html</link>
      <description>Implementing Multi Layer Perceptron</description>
      <pubDate>Mon, 17 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nn-mlp.html</guid>
      <category>Neural-Net</category>
    </item>
    <item>
      <title>4. Neural Nets: Loss and Optmization</title>
      <link>https://kush-singh-26.github.io/blogs/nn-optimize.html</link>
      <description>Dicussion about different types of Optimization functions and losses</description>
      <pubDate>Sun, 16 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nn-optimize.html</guid>
      <category>Neural-Net</category>
    </item>
    <item>
      <title>3. Neural Nets: Activation Functions</title>
      <link>https://kush-singh-26.github.io/blogs/nn-activation.html</link>
      <description>Overview of differnet types of Actiavation functions.</description>
      <pubDate>Sun, 16 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nn-activation.html</guid>
      <category>Neural-Net</category>
    </item>
    <item>
      <title>2. Neural Nets: Preprocessing data</title>
      <link>https://kush-singh-26.github.io/blogs/nn-preprocessing.html</link>
      <description>Brief description on how data can be processed.</description>
      <pubDate>Sun, 16 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nn-preprocessing.html</guid>
      <category>Neural-Net</category>
    </item>
    <item>
      <title>1. Neural Nets: Overview</title>
      <link>https://kush-singh-26.github.io/blogs/nn-overview.html</link>
      <description>Overview of Neural Networks</description>
      <pubDate>Thu, 13 Mar 2025 00:00:00 UTC</pubDate>
      <guid>https://kush-singh-26.github.io/blogs/nn-overview.html</guid>
      <category>Neural-Net</category>
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