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      <title>Pick and Place with the SO-101 Robot Arm</title>
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      <description>An end-to-end robotics project covering inverse kinematics, motion planning, computer vision, sim-to-real transfer, and ACT imitation learning.</description>
      <pubDate>Fri, 17 Jul 2026 15:00:00 GMT</pubDate>
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      <title>LLM Posttraining</title>
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      <description>A guide to LLM posttraining basics: LoRA, SFT, RLHF, RLVR.</description>
      <pubDate>Fri, 10 Apr 2026 15:00:00 GMT</pubDate>
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      <title>Reinforcement Learning</title>
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      <description>Foundations of reinforcement learning, from Markov decision processes and value functions to dynamic programming, Monte Carlo methods, temporal-difference learning, and policy gradients.</description>
      <pubDate>Tue, 10 Feb 2026 14:30:00 GMT</pubDate>
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      <title>Diffusion</title>
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      <description>Extending the flow matching framework to diffusion models.</description>
      <pubDate>Wed, 14 Jan 2026 22:00:00 GMT</pubDate>
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      <title>Flow Matching</title>
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      <description>An overview of flow matching techniques for generative modeling.</description>
      <pubDate>Tue, 25 Nov 2025 10:00:00 GMT</pubDate>
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      <title>Attention Is All You Need</title>
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      <description>Describing the training of an encoder-decoder transformer, following the "Attention Is All You Need" paper.</description>
      <pubDate>Fri, 07 Nov 2025 16:00:00 GMT</pubDate>
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      <title>Parallel Corpus Viewer</title>
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      <description>A viewer for the datasets used to train the model for the Attention Is All You Need page.</description>
      <pubDate>Fri, 07 Nov 2025 15:00:00 GMT</pubDate>
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      <title>Normalizing Flows</title>
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      <description>A page exploring the basics of normalizing flows.</description>
      <pubDate>Tue, 28 Oct 2025 00:00:00 GMT</pubDate>
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      <title>Variational Autoencoders</title>
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      <description>An interactive exploration of Variational Autoencoders (VAEs) with theory, implementation details, and live demonstrations using a synthetic dataset.</description>
      <pubDate>Wed, 15 Oct 2025 00:00:00 GMT</pubDate>
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