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      <title>TAPI Large Language Models and Embeddings for Retrieval Augmented Generation</title>
      <link>https://hw.is-a.dev/certifications/tapi-large-language-models-and-embeddings-for-retrieval-augmented-generation/</link>
      <pubDate>Thu, 15 Aug 2024 00:00:00 +0000</pubDate>
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      <description>Earning this badge validates the practical experience with Retrieval Augmented Generation (RAG) solutions, showcasing understanding of this innovative approach that combines pre-trained language models with external knowledge retrieval to generate highly informative and contextually relevant text.</description>
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<h2 id="certification-details">Certification details</h2>
<h3 id="what-you-will-learn">What you will learn</h3>
<ul>
<li><strong>Retrieval Augmented Generation (RAG) Expertise</strong>: Gain hands-on experience with RAG techniques, a cutting-edge approach to enhancing language model performance.</li>
<li><strong>Innovative Model Application</strong>: Develop practical skills in applying innovative models and techniques for improved text generation.</li>
<li><strong>Research-Focused Application</strong>: Learn how to leverage RAG solutions for research purposes, generating highly informative and contextually relevant outputs.</li>
</ul>
<h3 id="why-earn-this-certification">Why earn this certification</h3>
<ul>
<li><strong>Become a RAG Proficient</strong>: Demonstrate expertise in a leading-edge technique for improving language model capabilities.</li>
<li><strong>Enhance Research Capabilities</strong>: Develop skills to significantly improve the quality and relevance of research outputs.</li>
<li><strong>Gain a Competitive Edge</strong>: Acquire in-demand skills in a rapidly evolving field of natural language processing.</li>
</ul>
<h3 id="earning-criteria">Earning Criteria</h3>
<p>Complete 1-week, 3-day course in Large Language Models and Embeddings for Retrieval Augmented Generation, consisting of 4.5 hours of e-learning.</p>
<p><a href="https://www.credly.com/badges/348847ac-111a-4679-88b6-86d447b4c784/public_url">Source</a></p>
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