<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Diego Bonilla Salvador — Archive</title><link>https://diego-bonilla-portfolio.com</link><description>Projects, research, articles and videos.</description><item><title>BiasLoop</title><link>https://diego-bonilla-portfolio.com/projects/biasloop/</link><guid>https://diego-bonilla-portfolio.com/projects/biasloop/</guid><description>Diffusion self-loop diagnostics: tracking how repeated model passes change image embeddings across strengths and visual content.</description></item><item><title>Continual CLIP</title><link>https://diego-bonilla-portfolio.com/projects/continual-clip/</link><guid>https://diego-bonilla-portfolio.com/projects/continual-clip/</guid><description>A CLIP-like system that adds visual concepts directly in latent space from a handful of images without updating model weights.</description></item><item><title>2D Drawing Machine</title><link>https://diego-bonilla-portfolio.com/projects/drawing-machine/</link><guid>https://diego-bonilla-portfolio.com/projects/drawing-machine/</guid><description>A DIY pen plotter with Arduino firmware and Python tools for manual control, image conversion and G-code output.</description></item><item><title>Drift Model Simulator</title><link>https://diego-bonilla-portfolio.com/projects/drift-model-simulator/</link><guid>https://diego-bonilla-portfolio.com/projects/drift-model-simulator/</guid><description>An interactive 2D physics simulation of generative modeling via drifting, with positive, negative and generated particles moving in real time.</description></item><item><title>FractalTokenizer</title><link>https://diego-bonilla-portfolio.com/projects/fractal-tokenizer/</link><guid>https://diego-bonilla-portfolio.com/projects/fractal-tokenizer/</guid><description>Adaptive image tokenization using pattern mining and quadtree partitioning to create variable-size visual patches.</description></item><item><title>How to Make Your LLM Reason</title><link>https://diego-bonilla-portfolio.com/videos/how-to-make-your-llm-reason/</link><guid>https://diego-bonilla-portfolio.com/videos/how-to-make-your-llm-reason/</guid><description>A video about techniques for reasoning with language models.</description></item><item><title>Orthogonality-Explainability</title><link>https://diego-bonilla-portfolio.com/research/orthogonality-explainability/</link><guid>https://diego-bonilla-portfolio.com/research/orthogonality-explainability/</guid><description>Tests whether orthogonal convolutional channels represent more independent visual concepts, with scoring and labels for attribution.</description></item><item><title>PPO and GRPO in LLMs</title><link>https://diego-bonilla-portfolio.com/videos/ppo-and-grpo-in-llms/</link><guid>https://diego-bonilla-portfolio.com/videos/ppo-and-grpo-in-llms/</guid><description>A video explaining PPO and GRPO for language models.</description></item><item><title>Region-Coarsening Image Embeddings</title><link>https://diego-bonilla-portfolio.com/research/region-coarsening-image-embeddings/</link><guid>https://diego-bonilla-portfolio.com/research/region-coarsening-image-embeddings/</guid><description>Progressively merge connected image regions and measure how Vision Transformer embeddings drift as pixel detail is removed.</description></item><item><title>Real-Time RGB-D SLAM</title><link>https://diego-bonilla-portfolio.com/videos/real-time-rgbd-slam/</link><guid>https://diego-bonilla-portfolio.com/videos/real-time-rgbd-slam/</guid><description>A short demonstration of mapping and camera tracking with a RealSense D415, OpenCV and Open3D.</description></item><item><title>SceneGraph-LLM</title><link>https://diego-bonilla-portfolio.com/projects/scenegraph-llm/</link><guid>https://diego-bonilla-portfolio.com/projects/scenegraph-llm/</guid><description>Zero-shot scene graph generation from images with LLM-supervised synthetic data and a vision-language relation model.</description></item><item><title>RGB-D SLAM with RealSense D415</title><link>https://diego-bonilla-portfolio.com/projects/slam-d415/</link><guid>https://diego-bonilla-portfolio.com/projects/slam-d415/</guid><description>An ongoing real-time mapping and camera-tracking project using an Intel RealSense D415 depth camera.</description></item><item><title>The Maths Behind Sora Video Generation</title><link>https://diego-bonilla-portfolio.com/articles/maths-behind-sora/</link><guid>https://diego-bonilla-portfolio.com/articles/maths-behind-sora/</guid><description>An analysis of the architecture and techniques behind video generation.</description></item><item><title>Top Deep Learning Papers of 2022</title><link>https://diego-bonilla-portfolio.com/articles/top-deep-learning-papers-2022/</link><guid>https://diego-bonilla-portfolio.com/articles/top-deep-learning-papers-2022/</guid><description>A review of deep learning papers from 2022.</description></item><item><title>A Guide to Transformer Architectures</title><link>https://diego-bonilla-portfolio.com/articles/guide-to-transformer-architectures/</link><guid>https://diego-bonilla-portfolio.com/articles/guide-to-transformer-architectures/</guid><description>An explanation of transformer architectures and their components.</description></item><item><title>Give Me $120M and I’ll Change AI</title><link>https://diego-bonilla-portfolio.com/articles/give-me-120m-and-ill-change-ai/</link><guid>https://diego-bonilla-portfolio.com/articles/give-me-120m-and-ill-change-ai/</guid><description>An article about the cost of training a new language model.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate></item><item><title>AI Revolution: Exploring Advanced Concepts in Deep Learning</title><link>https://diego-bonilla-portfolio.com/library/ai-revolution/</link><guid>https://diego-bonilla-portfolio.com/library/ai-revolution/</guid><description>A coauthored textbook on deep learning theory and lab exercises.</description><pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Why Do We Use MSE? Three Levels of Complexity</title><link>https://diego-bonilla-portfolio.com/articles/why-use-mse/</link><guid>https://diego-bonilla-portfolio.com/articles/why-use-mse/</guid><description>An explanation of mean squared error, from the practical intuition to its gradient and curvature.</description><pubDate>Mon, 10 Mar 2025 00:00:00 GMT</pubDate></item><item><title>How to Make Your LLM Reason</title><link>https://diego-bonilla-portfolio.com/articles/how-to-make-your-llm-reason/</link><guid>https://diego-bonilla-portfolio.com/articles/how-to-make-your-llm-reason/</guid><description>A written companion to the video series on reasoning, reinforcement learning and language models.</description><pubDate>Mon, 17 Feb 2025 00:00:00 GMT</pubDate></item><item><title>Tokenization in NLP: An Academic Guide</title><link>https://diego-bonilla-portfolio.com/articles/tokenization-in-nlp/</link><guid>https://diego-bonilla-portfolio.com/articles/tokenization-in-nlp/</guid><description>How text is split into tokens and converted to model inputs.</description><pubDate>Mon, 11 Nov 2024 00:00:00 GMT</pubDate></item></channel></rss>