SS 1518 Update the Serve roadmap

templates/portal/roadmap.html

@@ -7,92 +7,118 @@
 
   <div class="row">
     <div class="col">
+
       <h3>Current work</h3>
       <p>
       <ul>
         <li>
           <p>
-            <b>Integration of MLFLow for ML experiment tracking</b>
+            <b>Metadata and FAIR improvements</b>
           </p>
           <p>
-            We will allow users of SciLifeLab Serve to launch their own instances of the platform <a
-            href="https://mlflow.org/">MLFlow</a> that allows to keep track of models and artifacts in machine learning
-            work. Users will be able to send data to their instance from anywhere where they are doing training or
-            analyses.
+            We will be collecting additional information about applications and models published on SciLifeLab Serve
+            (such as list of authors and source of funding). We will also be registering Digital Object Identifiers
+            (DOIs) to allow tracking of metadata and citation of applications and models.
           </p>
           <p>
-            <i>Released Q1 2025</i>
+            <i>Planned Q4 2025</i>
           </p>
         </li>
         <li>
           <p>
-            <b>Support for model deployment with GPUs</b>
+            <b>Improved web accessibility of the website</b>
           </p>
           <p>
-            We will allow users to publish models with access to GPUs to run inferences. We will start with a few pilot
-            projects before making it widely available. Get in touch with us if you are interested in being a pilot
-            user.
+            We will review and update our webpages to meet the
+            <a href="https://www.w3.org/WAI/standards-guidelines/wcag/glance/"
+                target="_blank"
+                rel="noopener noreferrer">
+            Web Content Accessibility Guidelines (WCAG) 2.2 <span class="sr-only">(opens in a new tab)</span>
+            </a>
           </p>
           <p>
-            <i>Planned Q2 2025</i>
+            <i>Planned Q4 2025</i>
           </p>
         </li>
       </ul>
       </p>
+
       <h3>Near-term work</h3>
       <p>
       <ul>
         <li>
           <p>
-            <b>Metadata and FAIR improvements</b>
+            <b>Access to an API endpoint to interact with LLM(s)</b>
           </p>
           <p>
-            We will be collecting additional information about applications and models published on SciLifeLab Serve
-            (such as list of authors and source of funding). We will also be registering Digital Object Identifiers
-            (DOIs) to allow tracking of metadata and citation of applications and models.
+            We will provide an API endpoint for application developers that will allow their apps to interact with one
+            or more LLMs. The apps will then need to be made available through SciLifeLab Serve.
           </p>
           <p>
-            <i>Planned Q3 2025</i>
+            <i>Planned Q1 2026</i>
           </p>
         </li>
+      </ul>
+      </p>
+
+      <h3>Long-term work</h3>
+      <p>
+      <ul>
         <li>
           <p>
-            <b>Improved web accessibility of the website</b>
+            <b>Improved model-serving functionality</b>
           </p>
           <p>
-            We will review and update our webpages to meet the Web Content Accessibility Guidelines (WCAG) 2.2.
+            We will improve the user experience and useability of deploying and using machine learning models through SciLifeLab Serve.
           </p>
           <p>
-            <i>Planned Q3 2025</i>
+            <i>Planned 2026</i>
           </p>
         </li>
         <li>
           <p>
-            <b>Access to an API endpoint to interact with LLM(s)</b>
+            <b>LLM-empowered application creation</b>
           </p>
           <p>
-            We will provide an API endpoint for application developers that will allow their apps to interact with one
-            or more LLMs. The apps will then need to be made available through SciLifeLab Serve.
+            We will integrate an interface allowing to build data science applications by interacting with an LLM
+            through a chat interface. These applications can then be published on SciLifeLab Serve.
           </p>
           <p>
-            <i>Planned Q3 2025</i>
+            <i>Planned 2026</i>
           </p>
         </li>
       </ul>
       </p>
-      <h3>Long-term work</h3>
+
+      <h3>Past work</h3>
       <p>
       <ul>
         <li>
           <p>
-            <b>LLM-empowered application creation</b>
+            <b>Integration of MLFLow for ML experiment tracking</b>
           </p>
           <p>
-            We will integrate an interface allowing to build data science applications by interacting with an LLM
-            through a chat interface. These applications can then be published on SciLifeLab Serve.
+            We will allow users of SciLifeLab Serve to launch their own instances of the platform <a href="https://mlflow.org/"
+            target="_blank" rel="noopener noreferrer"> MLflow <span class="sr-only">(opens in a new tab)</span>
+            </a> that allows to keep track of models and artifacts in machine learning
+            work. Users will be able to send data to their instance from anywhere where they are doing training or
+            analyses.
           </p>
           <p>
-            <i>Planned Q4 2025</i>
+            <i>Released Q1 2025</i>
+          </p>
+        </li>
+        <li>
+          <p>
+            <b>Support for model deployment with GPUs</b>
+          </p>
+          <p>
+            We will allow users to publish models with access to GPUs to run inferences. We will start with a few pilot
+            projects before making it widely available. Get in touch with us if you are interested in being a pilot
+            user.
+          </p>
+          <p>
+            <i>Released Q2 2025</i>
           </p>
         </li>
       </ul>