<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for causalif</title>
    <link>https://pypi.org/project/causalif/</link>
    <description>Recent updates to the Python Package Index for causalif</description>
    <language>en</language>    <item>
      <title>0.1.9.8</title>
      <link>https://pypi.org/project/causalif/0.1.9.8/</link>
      <description>Large Language Models (LLMs) with Bayesian causal inference to discover causal relationships and associations from observational data and domain knowledge</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Sat, 16 May 2026 09:18:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.9.7</title>
      <link>https://pypi.org/project/causalif/0.1.9.7/</link>
      <description>Large Language Models (LLMs) with Bayesian causal inference to discover causal relationships and associations from observational data and domain knowledge</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Fri, 20 Mar 2026 17:13:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.9.6</title>
      <link>https://pypi.org/project/causalif/0.1.9.6/</link>
      <description>Large Language Models (LLMs) with Bayesian causal inference to discover causal relationships and associations from observational data and domain knowledge</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Thu, 19 Mar 2026 00:54:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.9.5</title>
      <link>https://pypi.org/project/causalif/0.1.9.5/</link>
      <description>Large Language Models (LLMs) with Bayesian causal inference to discover causal relationships and associations from observational data and domain knowledge</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Tue, 03 Mar 2026 12:46:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.9.4</title>
      <link>https://pypi.org/project/causalif/0.1.9.4/</link>
      <description>Large Language Models (LLMs) with Bayesian causal inference to discover causal relationships and associations from observational data and domain knowledge</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Tue, 03 Mar 2026 12:19:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.9.3</title>
      <link>https://pypi.org/project/causalif/0.1.9.3/</link>
      <description>Large Language Models (LLMs) with Bayesian causal inference to discover causal relationships and associations from observational data and domain knowledge</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Mon, 23 Feb 2026 17:36:23 GMT</pubDate>
    </item>    <item>
      <title>0.1.9.2</title>
      <link>https://pypi.org/project/causalif/0.1.9.2/</link>
      <description>Large Language Models (LLMs) with Bayesian causal inference to discover causal relationships and associations from observational data and domain knowledge</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Mon, 23 Feb 2026 13:41:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.9.1</title>
      <link>https://pypi.org/project/causalif/0.1.9.1/</link>
      <description>Large Language Models (LLMs) with Bayesian causal inference to discover causal relationships and associations from observational data and domain knowledge</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Fri, 20 Feb 2026 05:17:54 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/causalif/0.1.6/</link>
      <description>LLM assisted causal reasoning with JAX and RAG</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Tue, 21 Oct 2025 13:58:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/causalif/0.1.5/</link>
      <description>LLM assisted causal reasoning with JAX and RAG</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Mon, 20 Oct 2025 17:12:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/causalif/0.1.4/</link>
      <description>LLM assisted causal reasoning with JAX and RAG</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Mon, 20 Oct 2025 14:23:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/causalif/0.1.3/</link>
      <description>LLM assisted causal reasoning with JAX and RAG</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Mon, 20 Oct 2025 14:18:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/causalif/0.1.0/</link>
      <description>LLM assisted causal reasoning with JAX and RAG</description>
<author>bossubhr@amazon.co.uk</author>      <pubDate>Mon, 20 Oct 2025 12:52:14 GMT</pubDate>
    </item>  </channel>
</rss>