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#vectorembeddings

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InfoQ<p>In this <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InfoQ</span></a> video, Sam Partee explores the world of <a href="https://techhub.social/tags/RetrievalAugmentedGeneration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RetrievalAugmentedGeneration</span></a> and its significance for <a href="https://techhub.social/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModels</span></a> like OpenAI's GPT4.</p><p>With the rapid evolution of data, LLMs face the challenge of staying up-to-date and contextually relevant. By harnessing the capabilities of <a href="https://techhub.social/tags/VectorEmbeddings" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VectorEmbeddings</span></a> and <a href="https://techhub.social/tags/databases" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>databases</span></a>, LLMs can overcome these challenges and unlock their true potential.</p><p>Watch the video now: <a href="https://bit.ly/3LgXi6i" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/3LgXi6i</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://techhub.social/tags/RAG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RAG</span></a> # <a href="https://techhub.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a></p>