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        <title><![CDATA[Stories by Thomas Rochefort-Beaudoin on Medium]]></title>
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            <title><![CDATA[Training a Language Model To Give (Non) Legal Advice]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/training-a-large-language-model-to-give-non-legal-advice-b9f6d7d11016?source=rss-6a1d4b98f29c------2"><img src="https://cdn-images-1.medium.com/max/1548/1*JliDVAl4g8t6D4v49iedGA.png" width="1548"></a></p><p class="medium-feed-snippet">In this article, I go through the basics for finetuning large language models like BLOOM on a legal text dataset. You can try it here&#xA0;!</p><p class="medium-feed-link"><a href="https://pub.towardsai.net/training-a-large-language-model-to-give-non-legal-advice-b9f6d7d11016?source=rss-6a1d4b98f29c------2">Continue reading on Towards AI »</a></p></div>]]></description>
            <link>https://pub.towardsai.net/training-a-large-language-model-to-give-non-legal-advice-b9f6d7d11016?source=rss-6a1d4b98f29c------2</link>
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            <category><![CDATA[text-generation]]></category>
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            <category><![CDATA[large-language-models]]></category>
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            <dc:creator><![CDATA[Thomas Rochefort-Beaudoin]]></dc:creator>
            <pubDate>Fri, 23 Dec 2022 00:01:30 GMT</pubDate>
            <atom:updated>2023-04-21T21:03:36.280Z</atom:updated>
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            <title><![CDATA[Beating the S&P500 Using Machine Learning]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/beating-the-s-p500-using-machine-learning-c5d2f5a19211?source=rss-6a1d4b98f29c------2"><img src="https://cdn-images-1.medium.com/max/2600/1*2WQzSu9zNAA3FM_ELShUxg.jpeg" width="4896"></a></p><p class="medium-feed-snippet">Using random forest regression to generate a 1400% compounded return over 15 years in the stock market.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/beating-the-s-p500-using-machine-learning-c5d2f5a19211?source=rss-6a1d4b98f29c------2">Continue reading on TDS Archive »</a></p></div>]]></description>
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            <category><![CDATA[algorithmic-trading]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[finance]]></category>
            <category><![CDATA[stock-market]]></category>
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            <dc:creator><![CDATA[Thomas Rochefort-Beaudoin]]></dc:creator>
            <pubDate>Tue, 15 Oct 2019 15:28:16 GMT</pubDate>
            <atom:updated>2021-06-08T20:54:48.050Z</atom:updated>
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