<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>TRL (Transformers Reinforcement Learning) — USASI news</title>
    <link>https://unitedstatesofamericasuperintelligence.com/open/trl/</link>
    <atom:link href="https://unitedstatesofamericasuperintelligence.com/open/trl/feed.xml" rel="self" type="application/rss+xml"/>
    <description>Dated, sourced news items in the USASI catalog that mention TRL (Transformers Reinforcement Learning). Independent project. Not a United States government website.</description>
    <language>en-us</language>
    <lastBuildDate>Fri, 09 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>TRL 1.15.0 released with a fused LM head enabled by default</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/trl-1-15-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/trl-1-15-0-released/</guid>
      <pubDate>Fri, 09 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 8, 2026 Hugging Face published version 1.15.0 of TRL on GitHub. The release notes say the SFT, DPO, KTO, GRPO, RLOO and Distillation trainers now score tokens with a fused LM head, a Triton kernel that avoids building the full logits tensor, and that it is on by default; scoring this way needs Triton on a GPU. The notes list breaking changes: a PEFT adapter on lm_head now raises an error, and use_liger_kernel=True is deprecated in the GRPO, RLOO, DPO and KTO trainers and will be removed in v2.0.0. The release also adds selective activation checkpointing in SFT. USASI has not tested these changes.</description>
    </item>
  </channel>
</rss>
