diff --git a/404.html b/404.html index 512d754..b2c9e7b 100644 --- a/404.html +++ b/404.html @@ -4,4 +4,4 @@ 2016 - 2025 Eric X. Liu -[015353b] \ No newline at end of file +[b213faf] \ No newline at end of file diff --git a/about/index.html b/about/index.html index 11f5154..63b64ff 100644 --- a/about/index.html +++ b/about/index.html @@ -4,4 +4,4 @@ 2016 - 2025 Eric X. Liu -[015353b] \ No newline at end of file +[b213faf] \ No newline at end of file diff --git a/categories/index.html b/categories/index.html index a625467..304f6b7 100644 --- a/categories/index.html +++ b/categories/index.html @@ -4,4 +4,4 @@ 2016 - 2025 Eric X. Liu -[015353b] \ No newline at end of file +[b213faf] \ No newline at end of file diff --git a/index.html b/index.html index dc2367c..1c65689 100644 --- a/index.html +++ b/index.html @@ -4,4 +4,4 @@ 2016 - 2025 Eric X. Liu -[015353b] \ No newline at end of file +[b213faf] \ No newline at end of file diff --git a/index.xml b/index.xml index f1abe60..b0b97d8 100644 --- a/index.xml +++ b/index.xml @@ -1,5 +1,5 @@ -Eric X. Liu's Personal Page/Recent content on Eric X. Liu's Personal PageHugoenSun, 03 Aug 2025 03:02:23 +0000A Deep Dive into PPO for Language Models/posts/a-deep-dive-into-ppo-for-language-models/Sun, 03 Aug 2025 03:01:53 +0000/posts/a-deep-dive-into-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.</p>T5 - The Transformer That Zigged When Others Zagged - An Architectural Deep Dive/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/Sun, 03 Aug 2025 03:01:53 +0000/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/<p>In the rapidly evolving landscape of Large Language Models, a few key architectures define the dominant paradigms. Today, the &ldquo;decoder-only&rdquo; model, popularized by the GPT series and its successors like LLaMA and Mistral, reigns supreme. These models are scaled to incredible sizes and excel at in-context learning.</p> +Eric X. Liu's Personal Page/Recent content on Eric X. Liu's Personal PageHugoenSun, 03 Aug 2025 03:08:20 +0000A Deep Dive into PPO for Language Models/posts/a-deep-dive-into-ppo-for-language-models/Sun, 03 Aug 2025 03:07:50 +0000/posts/a-deep-dive-into-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.</p>T5 - The Transformer That Zigged When Others Zagged - An Architectural Deep Dive/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/Sun, 03 Aug 2025 03:07:50 +0000/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/<p>In the rapidly evolving landscape of Large Language Models, a few key architectures define the dominant paradigms. Today, the &ldquo;decoder-only&rdquo; model, popularized by the GPT series and its successors like LLaMA and Mistral, reigns supreme. These models are scaled to incredible sizes and excel at in-context learning.</p> <p>But to truly understand the field, we must look at the pivotal models that explored different paths. Google&rsquo;s T5, or <strong>Text-to-Text Transfer Transformer</strong>, stands out as one of the most influential. It didn&rsquo;t just introduce a new model; it proposed a new philosophy. This article dives deep into the architecture of T5, how it fundamentally differs from modern LLMs, and the lasting legacy of its unique design choices.</p>Some useful files/posts/useful/Mon, 26 Oct 2020 04:14:43 +0000/posts/useful/<ul> <li><a href="https://ericxliu.me/rootCA.pem" class="external-link" target="_blank" rel="noopener">rootCA.pem</a></li> <li><a href="https://ericxliu.me/vpnclient.ovpn" class="external-link" target="_blank" rel="noopener">vpnclient.ovpn</a></li> diff --git a/posts/a-deep-dive-into-ppo-for-language-models/index.html b/posts/a-deep-dive-into-ppo-for-language-models/index.html index 17f7db4..660023d 100644 --- a/posts/a-deep-dive-into-ppo-for-language-models/index.html +++ b/posts/a-deep-dive-into-ppo-for-language-models/index.html @@ -1,10 +1,10 @@ A Deep Dive into PPO for Language Models · Eric X. Liu's Personal Page
\ No newline at end of file diff --git a/posts/index.html b/posts/index.html index caadc48..89d43c0 100644 --- a/posts/index.html +++ b/posts/index.html @@ -7,4 +7,4 @@ 2016 - 2025 Eric X. Liu -[015353b] \ No newline at end of file +[b213faf] \ No newline at end of file diff --git a/posts/index.xml b/posts/index.xml index f2889ac..acc6207 100644 --- a/posts/index.xml +++ b/posts/index.xml @@ -1,5 +1,5 @@ -Posts on Eric X. Liu's Personal Page/posts/Recent content in Posts on Eric X. Liu's Personal PageHugoenSun, 03 Aug 2025 03:02:23 +0000A Deep Dive into PPO for Language Models/posts/a-deep-dive-into-ppo-for-language-models/Sun, 03 Aug 2025 03:01:53 +0000/posts/a-deep-dive-into-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.</p>T5 - The Transformer That Zigged When Others Zagged - An Architectural Deep Dive/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/Sun, 03 Aug 2025 03:01:53 +0000/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/<p>In the rapidly evolving landscape of Large Language Models, a few key architectures define the dominant paradigms. Today, the &ldquo;decoder-only&rdquo; model, popularized by the GPT series and its successors like LLaMA and Mistral, reigns supreme. These models are scaled to incredible sizes and excel at in-context learning.</p> +Posts on Eric X. Liu's Personal Page/posts/Recent content in Posts on Eric X. Liu's Personal PageHugoenSun, 03 Aug 2025 03:08:20 +0000A Deep Dive into PPO for Language Models/posts/a-deep-dive-into-ppo-for-language-models/Sun, 03 Aug 2025 03:07:50 +0000/posts/a-deep-dive-into-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.</p>T5 - The Transformer That Zigged When Others Zagged - An Architectural Deep Dive/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/Sun, 03 Aug 2025 03:07:50 +0000/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/<p>In the rapidly evolving landscape of Large Language Models, a few key architectures define the dominant paradigms. Today, the &ldquo;decoder-only&rdquo; model, popularized by the GPT series and its successors like LLaMA and Mistral, reigns supreme. These models are scaled to incredible sizes and excel at in-context learning.</p> <p>But to truly understand the field, we must look at the pivotal models that explored different paths. Google&rsquo;s T5, or <strong>Text-to-Text Transfer Transformer</strong>, stands out as one of the most influential. It didn&rsquo;t just introduce a new model; it proposed a new philosophy. This article dives deep into the architecture of T5, how it fundamentally differs from modern LLMs, and the lasting legacy of its unique design choices.</p>Some useful files/posts/useful/Mon, 26 Oct 2020 04:14:43 +0000/posts/useful/<ul> <li><a href="https://ericxliu.me/rootCA.pem" class="external-link" target="_blank" rel="noopener">rootCA.pem</a></li> <li><a href="https://ericxliu.me/vpnclient.ovpn" class="external-link" target="_blank" rel="noopener">vpnclient.ovpn</a></li> 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 a062be4..458a346 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 @@ -1,10 +1,10 @@ T5 - The Transformer That Zigged When Others Zagged - An Architectural Deep Dive · 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 5ea3374..b9d7833 100644 --- a/posts/useful/index.html +++ b/posts/useful/index.html @@ -10,4 +10,4 @@ One-minute read
  • [015353b] \ No newline at end of file +[b213faf] \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml index 1fc5f88..4789a7d 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -1 +1 @@ -/posts/a-deep-dive-into-ppo-for-language-models/2025-08-03T03:02:23+00:00weekly0.5/2025-08-03T03:02:23+00:00weekly0.5/posts/2025-08-03T03:02:23+00:00weekly0.5/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/2025-08-03T03:02:23+00:00weekly0.5/posts/useful/2020-10-26T04:47:36+00:00weekly0.5/about/2020-06-16T23:30:17-07:00weekly0.5/categories/weekly0.5/tags/weekly0.5 \ No newline at end of file +/posts/a-deep-dive-into-ppo-for-language-models/2025-08-03T03:08:20+00:00weekly0.5/2025-08-03T03:08:20+00:00weekly0.5/posts/2025-08-03T03:08:20+00:00weekly0.5/posts/t5-the-transformer-that-zigged-when-others-zagged-an-architectural-deep-dive/2025-08-03T03:08:20+00:00weekly0.5/posts/useful/2020-10-26T04:47:36+00:00weekly0.5/about/2020-06-16T23:30:17-07:00weekly0.5/categories/weekly0.5/tags/weekly0.5 \ No newline at end of file diff --git a/tags/index.html b/tags/index.html index 9514530..59f312f 100644 --- a/tags/index.html +++ b/tags/index.html @@ -4,4 +4,4 @@ 2016 - 2025 Eric X. Liu -[015353b] \ No newline at end of file +[b213faf] \ No newline at end of file