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Update app.py
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app.py
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@@ -136,9 +136,8 @@ def invoke(openai_api_key, rag_option, prompt):
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description = """<strong>Overview:</strong> Reasoning application that demonstrates a <strong>Large Language Model (LLM)</strong> with
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<strong>Retrieval Augmented Generation (RAG)</strong> on <strong>external data</strong>.\n\n
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<strong>Instructions:</strong> Enter an OpenAI API key and perform
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<a href='""" +
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data on GPT-4, published after LLM knowledge cutoff.
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<ul style="list-style-type:square;">
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<li>Set "Retrieval Augmented Generation" to "<strong>Off</strong>" and submit prompt "What is GPT-4?" The <strong>LLM without RAG</strong> does not know the answer.</li>
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<li>Set "Retrieval Augmented Generation" to "<strong>Chroma</strong>" or "<strong>MongoDB</strong>" and submit prompt "What is GPT-4?" The <strong>LLM with RAG</strong> knows the answer.</li>
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description = """<strong>Overview:</strong> Reasoning application that demonstrates a <strong>Large Language Model (LLM)</strong> with
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<strong>Retrieval Augmented Generation (RAG)</strong> on <strong>external data</strong>.\n\n
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<strong>Instructions:</strong> Enter an OpenAI API key and perform text generation use cases on <a href='""" + YOUTUBE_URL_1 + """'>YouTube</a>,
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<a href='""" + PDF_URL + """'>PDF</a>, and <a href='""" + WEB_URL + """'>Web</a> data (example: GPT-4), published after LLM knowledge cutoff.
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<ul style="list-style-type:square;">
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<li>Set "Retrieval Augmented Generation" to "<strong>Off</strong>" and submit prompt "What is GPT-4?" The <strong>LLM without RAG</strong> does not know the answer.</li>
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<li>Set "Retrieval Augmented Generation" to "<strong>Chroma</strong>" or "<strong>MongoDB</strong>" and submit prompt "What is GPT-4?" The <strong>LLM with RAG</strong> knows the answer.</li>
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