diff --git a/404.html b/404.html index 86c404d..ff1e962 100644 --- a/404.html +++ b/404.html @@ -4,4 +4,4 @@ 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/about/index.html b/about/index.html index 1c207e9..bfe8493 100644 --- a/about/index.html +++ b/about/index.html @@ -13,4 +13,4 @@ My work focuses on Infrastructure Performance and Customer Engineering, specific 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/authors/index.html b/authors/index.html index 894d2e8..46ee05b 100644 --- a/authors/index.html +++ b/authors/index.html @@ -4,4 +4,4 @@ 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/categories/index.html b/categories/index.html index ad45280..061830c 100644 --- a/categories/index.html +++ b/categories/index.html @@ -4,4 +4,4 @@ 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/index.html b/index.html index 9f0bef0..8e7de81 100644 --- a/index.html +++ b/index.html @@ -1,8 +1,8 @@ -Eric X. Liu's Personal Page
avatar

Eric X. Liu

  • +
\ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/index.xml b/index.xml index dd7f01d..8f698d4 100644 --- a/index.xml +++ b/index.xml @@ -1,4 +1,4 @@ -Eric X. Liu's Personal Pagehttps://ericxliu.me/Recent content on Eric X. Liu's Personal PageHugoenWed, 04 Feb 2026 06:18:45 +0000Deployment Lessons and My Take on Self-Hosting OpenClawhttps://ericxliu.me/posts/blog-draft/Tue, 03 Feb 2026 00:00:00 +0000https://ericxliu.me/posts/blog-draft/<p>Deploying autonomous agents like OpenClaw on a self-hosted Kubernetes cluster offers significantly more control and integration potential than cloud-hosted alternatives. However, moving from a standard SaaS model to running your own intelligence infrastructure introduces several deployment challenges.</p> +Eric X. Liu's Personal Pagehttps://ericxliu.me/Recent content on Eric X. Liu's Personal PageHugoenSun, 22 Feb 2026 20:30:43 +0000Deployment Lessons and My Take on Self-Hosting OpenClawhttps://ericxliu.me/posts/blog-draft/Tue, 03 Feb 2026 00:00:00 +0000https://ericxliu.me/posts/blog-draft/<p>Deploying autonomous agents like OpenClaw on a self-hosted Kubernetes cluster offers significantly more control and integration potential than cloud-hosted alternatives. However, moving from a standard SaaS model to running your own intelligence infrastructure introduces several deployment challenges.</p> <p>Here are the practical lessons learned, organized by the layers of the agentic stack: Environment, Runtime, and Capabilities.</p> <h2 id="layer-1-the-environment--breaking-the-sandbox"> Layer 1: The Environment – Breaking the Sandbox @@ -80,7 +80,7 @@ <p>The answer lies in creating a universal language—a bridge between the continuous, messy world of pixels and audio waves and the discrete, structured world of language tokens. One of the most elegant and powerful tools for building this bridge is <strong>Residual Vector Quantization (RVQ)</strong>.</p>Supabase Deep Dive: It's Not Magic, It's Just Postgreshttps://ericxliu.me/posts/supabase-deep-dive/Sun, 03 Aug 2025 00:00:00 +0000https://ericxliu.me/posts/supabase-deep-dive/<p>In the world of Backend-as-a-Service (BaaS), platforms are often treated as magic boxes. You push data in, you get data out, and you hope the magic inside scales. While this simplicity is powerful, it can obscure the underlying mechanics, leaving developers wondering what&rsquo;s really going on.</p> <p>Supabase enters this space with a radically different philosophy: <strong>transparency</strong>. It provides the convenience of a BaaS, but it’s built on the world&rsquo;s most trusted relational database: PostgreSQL. The &ldquo;magic&rdquo; isn&rsquo;t a proprietary black box; it&rsquo;s a carefully assembled suite of open-source tools that enhance Postgres, not hide it.</p>A Deep Dive into PPO for Language Modelshttps://ericxliu.me/posts/ppo-for-language-models/Sat, 02 Aug 2025 00:00:00 +0000https://ericxliu.me/posts/ppo-for-language-models/<p>Large Language Models (LLMs) have demonstrated astonishing capabilities, but out-of-the-box, they are simply powerful text predictors. They don&rsquo;t inherently understand what makes a response helpful, harmless, or aligned with human values. The technique that has proven most effective at bridging this gap is Reinforcement Learning from Human Feedback (RLHF), and at its heart lies a powerful algorithm: Proximal Policy Optimization (PPO).</p> <p>You may have seen diagrams like the one below, which outlines the RLHF training process. It can look intimidating, with a web of interconnected models, losses, and data flows. -<img src="https://ericxliu.me/images/ppo-for-language-models/7713bd3ecf27442e939b9190fa08165d.png" alt="S3 File"></p>Mixture-of-Experts (MoE) Models Challenges & Solutions in Practicehttps://ericxliu.me/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/Wed, 02 Jul 2025 00:00:00 +0000https://ericxliu.me/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/<p>Mixture-of-Experts (MoEs) are neural network architectures that allow different parts of the model (called &ldquo;experts&rdquo;) to specialize in different types of inputs. A &ldquo;gating network&rdquo; or &ldquo;router&rdquo; learns to dispatch each input (or &ldquo;token&rdquo;) to a subset of these experts. While powerful for scaling models, MoEs introduce several practical challenges.</p> +<img src="http://localhost:4998/attachments/image-3632d923eed983f171fba4341825273101f1fc94.png?client=default&amp;bucket=obsidian" alt="S3 File"></p>Mixture-of-Experts (MoE) Models Challenges & Solutions in Practicehttps://ericxliu.me/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/Wed, 02 Jul 2025 00:00:00 +0000https://ericxliu.me/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/<p>Mixture-of-Experts (MoEs) are neural network architectures that allow different parts of the model (called &ldquo;experts&rdquo;) to specialize in different types of inputs. A &ldquo;gating network&rdquo; or &ldquo;router&rdquo; learns to dispatch each input (or &ldquo;token&rdquo;) to a subset of these experts. While powerful for scaling models, MoEs introduce several practical challenges.</p> <h3 id="1-challenge-non-differentiability-of-routing-functions"> 1. Challenge: Non-Differentiability of Routing Functions <a class="heading-link" href="#1-challenge-non-differentiability-of-routing-functions"> diff --git a/posts/benchmarking-llms-on-jetson-orin-nano/index.html b/posts/benchmarking-llms-on-jetson-orin-nano/index.html index 438a3bf..99f3420 100644 --- a/posts/benchmarking-llms-on-jetson-orin-nano/index.html +++ b/posts/benchmarking-llms-on-jetson-orin-nano/index.html @@ -8,7 +8,7 @@ NVIDIA’s Jetson Orin Nano promises impressive specs: 1024 CUDA cores, 32 Tensor Cores, and 40 TOPS of INT8 compute performance packed into a compact, power-efficient edge device. On paper, it looks like a capable platform for running Large Language Models locally. But there’s a catch—one that reveals a fundamental tension in modern edge AI hardware design. After running 66 inference tests across seven different language models ranging from 0.5B to 5.4B parameters, I discovered something counterintuitive: the device’s computational muscle sits largely idle during single-stream LLM inference. The bottleneck isn’t computation—it’s memory bandwidth. This isn’t just a quirk of one device; it’s a fundamental characteristic of single-user, autoregressive token generation on edge hardware—a reality that shapes how we should approach local LLM deployment.">
\ No newline at end of file diff --git a/posts/blog-draft/index.html b/posts/blog-draft/index.html index 32cc53c..ecaad4e 100644 --- a/posts/blog-draft/index.html +++ b/posts/blog-draft/index.html @@ -47,4 +47,4 @@ Layer 1: The Environment – Breaking the Sandbox Link to heading To move beyond 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/breville-barista-pro-maintenance/index.html b/posts/breville-barista-pro-maintenance/index.html index bdf8f03..7197a13 100644 --- a/posts/breville-barista-pro-maintenance/index.html +++ b/posts/breville-barista-pro-maintenance/index.html @@ -25,4 +25,4 @@ Understanding the Two Primary Maintenance Cycles Link to heading The Breville Ba 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/debugging-authentik-performance/index.html b/posts/debugging-authentik-performance/index.html index b70b566..977be82 100644 --- a/posts/debugging-authentik-performance/index.html +++ b/posts/debugging-authentik-performance/index.html @@ -44,4 +44,4 @@ My detailed Grafana dashboards said everything was fine. But my wife said the SS 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/espresso-theory-application-a-guide-for-the-breville-barista-pro/index.html b/posts/espresso-theory-application-a-guide-for-the-breville-barista-pro/index.html index cbe9706..1ff9538 100644 --- a/posts/espresso-theory-application-a-guide-for-the-breville-barista-pro/index.html +++ b/posts/espresso-theory-application-a-guide-for-the-breville-barista-pro/index.html @@ -20,4 +20,4 @@ Our overarching philosophy is simple: isolate and change only one variable at a 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/flashing-jetson-orin-nano-in-virtualized-environments/index.html b/posts/flashing-jetson-orin-nano-in-virtualized-environments/index.html index 14a1e9b..b645d7a 100644 --- a/posts/flashing-jetson-orin-nano-in-virtualized-environments/index.html +++ b/posts/flashing-jetson-orin-nano-in-virtualized-environments/index.html @@ -12,7 +12,7 @@ Link to heading -Flashing NVIDIA Jetson devices remotely presents unique challenges when the host machine is virtualized. This article documents the technical challenges, failures, and eventual success of flashing a Jetson Orin Nano Super developer kit using NVIDIA SDK Manager in various virtualized environments, specifically focusing on QEMU/KVM virtual machines and LXC containers on Proxmox VE.">
\ No newline at end of file diff --git a/posts/how-rvq-teaches-llms-to-see-and-hear/index.html b/posts/how-rvq-teaches-llms-to-see-and-hear/index.html index 183deb6..2e2d29c 100644 --- a/posts/how-rvq-teaches-llms-to-see-and-hear/index.html +++ b/posts/how-rvq-teaches-llms-to-see-and-hear/index.html @@ -18,4 +18,4 @@ The answer lies in creating a universal language—a bridge between the continuo 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/index.html b/posts/index.html index face94f..b5a85f0 100644 --- a/posts/index.html +++ b/posts/index.html @@ -14,4 +14,4 @@ 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/index.xml b/posts/index.xml index a6c59c9..78566d6 100644 --- a/posts/index.xml +++ b/posts/index.xml @@ -1,4 +1,4 @@ -Posts on Eric X. Liu's Personal Pagehttps://ericxliu.me/posts/Recent content in Posts on Eric X. Liu's Personal PageHugoenWed, 04 Feb 2026 06:18:45 +0000Deployment Lessons and My Take on Self-Hosting OpenClawhttps://ericxliu.me/posts/blog-draft/Tue, 03 Feb 2026 00:00:00 +0000https://ericxliu.me/posts/blog-draft/<p>Deploying autonomous agents like OpenClaw on a self-hosted Kubernetes cluster offers significantly more control and integration potential than cloud-hosted alternatives. However, moving from a standard SaaS model to running your own intelligence infrastructure introduces several deployment challenges.</p> +Posts on Eric X. Liu's Personal Pagehttps://ericxliu.me/posts/Recent content in Posts on Eric X. Liu's Personal PageHugoenSun, 22 Feb 2026 20:30:43 +0000Deployment Lessons and My Take on Self-Hosting OpenClawhttps://ericxliu.me/posts/blog-draft/Tue, 03 Feb 2026 00:00:00 +0000https://ericxliu.me/posts/blog-draft/<p>Deploying autonomous agents like OpenClaw on a self-hosted Kubernetes cluster offers significantly more control and integration potential than cloud-hosted alternatives. However, moving from a standard SaaS model to running your own intelligence infrastructure introduces several deployment challenges.</p> <p>Here are the practical lessons learned, organized by the layers of the agentic stack: Environment, Runtime, and Capabilities.</p> <h2 id="layer-1-the-environment--breaking-the-sandbox"> Layer 1: The Environment – Breaking the Sandbox @@ -77,7 +77,7 @@ <p>The answer lies in creating a universal language—a bridge between the continuous, messy world of pixels and audio waves and the discrete, structured world of language tokens. One of the most elegant and powerful tools for building this bridge is <strong>Residual Vector Quantization (RVQ)</strong>.</p>Supabase Deep Dive: It's Not Magic, It's Just Postgreshttps://ericxliu.me/posts/supabase-deep-dive/Sun, 03 Aug 2025 00:00:00 +0000https://ericxliu.me/posts/supabase-deep-dive/<p>In the world of Backend-as-a-Service (BaaS), platforms are often treated as magic boxes. You push data in, you get data out, and you hope the magic inside scales. While this simplicity is powerful, it can obscure the underlying mechanics, leaving developers wondering what&rsquo;s really going on.</p> <p>Supabase enters this space with a radically different philosophy: <strong>transparency</strong>. It provides the convenience of a BaaS, but it’s built on the world&rsquo;s most trusted relational database: PostgreSQL. The &ldquo;magic&rdquo; isn&rsquo;t a proprietary black box; it&rsquo;s a carefully assembled suite of open-source tools that enhance Postgres, not hide it.</p>A Deep Dive into PPO for Language Modelshttps://ericxliu.me/posts/ppo-for-language-models/Sat, 02 Aug 2025 00:00:00 +0000https://ericxliu.me/posts/ppo-for-language-models/<p>Large Language Models (LLMs) have demonstrated astonishing capabilities, but out-of-the-box, they are simply powerful text predictors. They don&rsquo;t inherently understand what makes a response helpful, harmless, or aligned with human values. The technique that has proven most effective at bridging this gap is Reinforcement Learning from Human Feedback (RLHF), and at its heart lies a powerful algorithm: Proximal Policy Optimization (PPO).</p> <p>You may have seen diagrams like the one below, which outlines the RLHF training process. It can look intimidating, with a web of interconnected models, losses, and data flows. -<img src="https://ericxliu.me/images/ppo-for-language-models/7713bd3ecf27442e939b9190fa08165d.png" alt="S3 File"></p>Mixture-of-Experts (MoE) Models Challenges & Solutions in Practicehttps://ericxliu.me/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/Wed, 02 Jul 2025 00:00:00 +0000https://ericxliu.me/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/<p>Mixture-of-Experts (MoEs) are neural network architectures that allow different parts of the model (called &ldquo;experts&rdquo;) to specialize in different types of inputs. A &ldquo;gating network&rdquo; or &ldquo;router&rdquo; learns to dispatch each input (or &ldquo;token&rdquo;) to a subset of these experts. While powerful for scaling models, MoEs introduce several practical challenges.</p> +<img src="http://localhost:4998/attachments/image-3632d923eed983f171fba4341825273101f1fc94.png?client=default&amp;bucket=obsidian" alt="S3 File"></p>Mixture-of-Experts (MoE) Models Challenges & Solutions in Practicehttps://ericxliu.me/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/Wed, 02 Jul 2025 00:00:00 +0000https://ericxliu.me/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/<p>Mixture-of-Experts (MoEs) are neural network architectures that allow different parts of the model (called &ldquo;experts&rdquo;) to specialize in different types of inputs. A &ldquo;gating network&rdquo; or &ldquo;router&rdquo; learns to dispatch each input (or &ldquo;token&rdquo;) to a subset of these experts. While powerful for scaling models, MoEs introduce several practical challenges.</p> <h3 id="1-challenge-non-differentiability-of-routing-functions"> 1. Challenge: Non-Differentiability of Routing Functions <a class="heading-link" href="#1-challenge-non-differentiability-of-routing-functions"> diff --git a/posts/jellyfin-sso-with-authentik/index.html b/posts/jellyfin-sso-with-authentik/index.html index ee13304..3ae5be3 100644 --- a/posts/jellyfin-sso-with-authentik/index.html +++ b/posts/jellyfin-sso-with-authentik/index.html @@ -71,4 +71,4 @@ Do not rely on header forwarding magic. Force the scheme in the plugin configura 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/index.html b/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/index.html index b6a89d9..49ae09f 100644 --- a/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/index.html +++ b/posts/mixture-of-experts-moe-models-challenges-solutions-in-practice/index.html @@ -44,4 +44,4 @@ The Top-K routing mechanism, as illustrated in the provided ima 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/open-webui-openai-websearch/index.html b/posts/open-webui-openai-websearch/index.html index e6cd889..fd025fb 100644 --- a/posts/open-webui-openai-websearch/index.html +++ b/posts/open-webui-openai-websearch/index.html @@ -86,4 +86,4 @@ This post documents the final setup, the hotfix script that keeps LiteLLM honest 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/openwrt-mwan3-wireguard-endpoint-exclusion/index.html b/posts/openwrt-mwan3-wireguard-endpoint-exclusion/index.html index 198b5eb..bee65c8 100644 --- a/posts/openwrt-mwan3-wireguard-endpoint-exclusion/index.html +++ b/posts/openwrt-mwan3-wireguard-endpoint-exclusion/index.html @@ -98,4 +98,4 @@ When using WireGuard together with MWAN3 on OpenWrt, the tunnel can fail to esta 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/page/2/index.html b/posts/page/2/index.html index 6cd1e1f..92b51cf 100644 --- a/posts/page/2/index.html +++ b/posts/page/2/index.html @@ -14,4 +14,4 @@ 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/page/3/index.html b/posts/page/3/index.html index 2ab1f09..158331c 100644 --- a/posts/page/3/index.html +++ b/posts/page/3/index.html @@ -9,4 +9,4 @@ 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/ppo-for-language-models/index.html b/posts/ppo-for-language-models/index.html index 6a2754a..ef5f933 100644 --- a/posts/ppo-for-language-models/index.html +++ b/posts/ppo-for-language-models/index.html @@ -2,13 +2,13 @@ You may have seen diagrams like the one below, which outlines the RLHF training process. It can look intimidating, with a web of interconnected models, losses, and data flows. ">
\ No newline at end of file diff --git a/posts/quantization-in-llms/index.html b/posts/quantization-in-llms/index.html index df3f07b..2b13034 100644 --- a/posts/quantization-in-llms/index.html +++ b/posts/quantization-in-llms/index.html @@ -7,4 +7,4 @@ 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/reverse-engineering-antigravity-ide/index.html b/posts/reverse-engineering-antigravity-ide/index.html index c2540dc..d57cc8f 100644 --- a/posts/reverse-engineering-antigravity-ide/index.html +++ b/posts/reverse-engineering-antigravity-ide/index.html @@ -24,4 +24,4 @@ I wanted to capture that value. I wanted a system that could take my chaotic cod 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/rooting-pixel-2-xl-for-reverse-engineering/index.html b/posts/rooting-pixel-2-xl-for-reverse-engineering/index.html index fbfd2be..3f70482 100644 --- a/posts/rooting-pixel-2-xl-for-reverse-engineering/index.html +++ b/posts/rooting-pixel-2-xl-for-reverse-engineering/index.html @@ -35,4 +35,4 @@ I used Magisk v30.6 (the latest as of writing). The patch proce 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/secure-boot-dkms-and-mok-on-proxmox-debian/index.html b/posts/secure-boot-dkms-and-mok-on-proxmox-debian/index.html index d678a7b..e47855a 100644 --- a/posts/secure-boot-dkms-and-mok-on-proxmox-debian/index.html +++ b/posts/secure-boot-dkms-and-mok-on-proxmox-debian/index.html @@ -59,4 +59,4 @@ nvidia-smi failed to communicate with the NVIDIA driver modprobe nvidia → “K 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/supabase-deep-dive/index.html b/posts/supabase-deep-dive/index.html index d91d74f..0e8c59a 100644 --- a/posts/supabase-deep-dive/index.html +++ b/posts/supabase-deep-dive/index.html @@ -90,4 +90,4 @@ Supabase enters this space with a radically different philosophy: transparency. 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/index.html b/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/index.html index 07b33ba..cbdaa82 100644 --- a/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/index.html +++ b/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/index.html @@ -30,4 +30,4 @@ But to truly understand the field, we must look at the pivotal models that explo 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/technical-deep-dive-llm-categorization/index.html b/posts/technical-deep-dive-llm-categorization/index.html index 40798d2..eed2682 100644 --- a/posts/technical-deep-dive-llm-categorization/index.html +++ b/posts/technical-deep-dive-llm-categorization/index.html @@ -1,7 +1,7 @@ From Gemini-3-Flash to T5-Gemma-2: A Journey in Distilling a Family Finance LLM · Eric X. Liu's Personal Page
\ No newline at end of file diff --git a/posts/the-convergence-of-fast-weights-linear-attention-and-state-space-models/index.html b/posts/the-convergence-of-fast-weights-linear-attention-and-state-space-models/index.html index 12a2890..a6b6081 100644 --- a/posts/the-convergence-of-fast-weights-linear-attention-and-state-space-models/index.html +++ b/posts/the-convergence-of-fast-weights-linear-attention-and-state-space-models/index.html @@ -26,4 +26,4 @@ This article explores the mathematical equivalence between Hinton’s concept of 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/transformer-s-core-mechanics/index.html b/posts/transformer-s-core-mechanics/index.html index f98d0fb..4d30c50 100644 --- a/posts/transformer-s-core-mechanics/index.html +++ b/posts/transformer-s-core-mechanics/index.html @@ -8,7 +8,7 @@ In deep learning, a “channel” can be thought of as a feature dimension. While this term is common in Convolutional Neural Networks for images (e.g., Red, Green, Blue channels), in LLMs, the analogous concept is the model’s primary embedding dimension, commonly referred to as d_model.">
\ No newline at end of file diff --git a/posts/unifi-vlan-migration-to-zone-based-architecture/index.html b/posts/unifi-vlan-migration-to-zone-based-architecture/index.html index 4ebf3fe..fead548 100644 --- a/posts/unifi-vlan-migration-to-zone-based-architecture/index.html +++ b/posts/unifi-vlan-migration-to-zone-based-architecture/index.html @@ -1,7 +1,7 @@ UniFi VLAN Migration to Zone-Based Architecture · Eric X. Liu's Personal Page
\ No newline at end of file diff --git a/posts/useful/index.html b/posts/useful/index.html index c891539..2fd0813 100644 --- a/posts/useful/index.html +++ b/posts/useful/index.html @@ -9,4 +9,4 @@ One-minute read
  • [45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/vattention/index.html b/posts/vattention/index.html index 394c45f..0acad0b 100644 --- a/posts/vattention/index.html +++ b/posts/vattention/index.html @@ -31,4 +31,4 @@ The GPU TLB hierarchy is sensitive to page sizes.

    • 4KB Pages:< 2016 - 2026 Eric X. Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file diff --git a/posts/vibe-coding-from-the-jeep/index.html b/posts/vibe-coding-from-the-jeep/index.html index 690dad4..c79230d 100644 --- a/posts/vibe-coding-from-the-jeep/index.html +++ b/posts/vibe-coding-from-the-jeep/index.html @@ -1,7 +1,7 @@ Hacking a Chinese Car Stereo to fulfill my Knight Rider dreams · Eric X. Liu's Personal Page
      \ No newline at end of file diff --git a/series/index.html b/series/index.html index ba7b7c9..890e098 100644 --- a/series/index.html +++ b/series/index.html @@ -4,4 +4,4 @@ 2016 - 2026 Eric X. 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Liu -[45629c5] \ No newline at end of file +[8aa06e9] \ No newline at end of file