
  <rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
      <title>Ashim Sharma</title>
      <link>https://ashimsharma10.github.io/blog</link>
      <description>Software engineer sharing projects, notes, and guides on ML infrastructure.</description>
      <language>en-us</language>
      <managingEditor>sharmaashim00@gmail.com (Ashim Sharma)</managingEditor>
      <webMaster>sharmaashim00@gmail.com (Ashim Sharma)</webMaster>
      <lastBuildDate>Tue, 15 Sep 2026 00:00:00 GMT</lastBuildDate>
      <atom:link href="https://ashimsharma10.github.io/tags/claude/feed.xml" rel="self" type="application/rss+xml"/>
      
  <item>
    <guid>https://ashimsharma10.github.io/blog/continual-learning-loop</guid>
    <title>The Continual Learning Loop</title>
    <link>https://ashimsharma10.github.io/blog/continual-learning-loop</link>
    <description>A long-running agent has to keep learning without forgetting what made it useful. This write-up covers catastrophic forgetting and how it is measured, the four families of fixes, memory in token space, continual RLVR, the production data flywheel, its guardrails, the multi-LoRA serving shape, and how to run the same loop with Claude.</description>
    <pubDate>Tue, 15 Sep 2026 00:00:00 GMT</pubDate>
    <author>sharmaashim00@gmail.com (Ashim Sharma)</author>
    <category>continual-learning</category><category>agents</category><category>llm</category><category>lora</category><category>reinforcement-learning</category><category>claude</category>
  </item>

    </channel>
  </rss>
