Text: a swarm of 1k agents

site/index.html

@@ -51,7 +51,7 @@
   <div class="text">
     <p>LLMs drive today's chatbots and agents, but conversational programs are much older than LLMs. Sixty years ago, <a href="https://en.wikipedia.org/wiki/ELIZA" target="_blank" rel="noopener">ELIZA</a> held
     conversations by matching patterns in what the user typed and answering with predefined templates.</p>
-    <p>We wanted to revisit that idea at a much larger scale, so we gave a swarm of LLM agents the mission of building a chatbot out of
+    <p>We wanted to revisit that idea at a much larger scale, so we gave a swarm of 1k agents the mission of building a chatbot out of
     plain Python rules (if-else branches, regex patterns and lookup tables). The agents wrote and evaluated over
     5,000 versions of the bot, and its win rate on <a href="https://huggingface.co/datasets/HuggingFaceSwarms/SmolTalkBench" target="_blank" rel="noopener">SmolTalkBench</a>, where an LLM judge compares each reply with a reference answer,
     climbed from almost 0% to 26%.</p>