<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Function-Calling on Bits, Trades &amp; Systems</title>
    <link>https://blog.turboawesome.win/tags/function-calling/</link>
    <description>Recent content in Function-Calling on Bits, Trades &amp; Systems</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Wed, 10 Jul 2024 09:38:00 +0000</lastBuildDate>
    <atom:link href="https://blog.turboawesome.win/tags/function-calling/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>LLM Integration Patterns for Backend Engineers</title>
      <link>https://blog.turboawesome.win/2024/07/llm-integration-patterns-for-backend-engineers/</link>
      <pubDate>Wed, 10 Jul 2024 09:38:00 +0000</pubDate>
      <guid>https://blog.turboawesome.win/2024/07/llm-integration-patterns-for-backend-engineers/</guid>
      <description>Integrating LLMs into backend systems requires engineering discipline that the AI ecosystem tutorials often skip. Structured output, function calling, retry strategy, and testing patterns from production.</description>
    </item>
  </channel>
</rss>
