<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
  <title>LockML — Open Source ML Model Comparison Table Blog</title>
  <link href="http://lockml.com/blog/" rel="alternate"/>
  <link href="http://lockml.com/blog/feed.xml" rel="self"/>
  <id>http://lockml.com/blog/</id>
  <updated>2026-04-06T00:00:00Z</updated>
  <author><name>LockML — Open Source ML Model Comparison Table</name></author>
  <entry>
    <title>Open Source Models That Beat GPT-4 on Specific Tasks — LockML</title>
    <link href="https://lockml.com/blog/open-source-models-beating-gpt4.html" rel="alternate"/>
    <id>https://lockml.com/blog/open-source-models-beating-gpt4.html</id>
    <updated>2026-04-06T00:00:00Z</updated>
    <summary>Real benchmark data showing where Llama 3, DeepSeek, Qwen 2, and other open models outperform GPT-4 on coding, math, and multilingual tasks.</summary>
  </entry>
  <entry>
    <title>How to Choose the Right ML Model for Your Use Case — LockML</title>
    <link href="https://lockml.com/blog/how-to-choose-ml-model.html" rel="alternate"/>
    <id>https://lockml.com/blog/how-to-choose-ml-model.html</id>
    <updated>2026-04-06T00:00:00Z</updated>
    <summary>A practical framework for choosing between open-source ML models. Covers parameters, licensing, deployment, benchmarks, and cost.</summary>
  </entry>
</feed>
