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app.py
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@@ -138,12 +138,12 @@ description = """<strong>Overview:</strong> Reasoning application that demonstra
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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 LLM use cases (semantic search, summarization, translation, etc.) on
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<a href='""" + YOUTUBE_URL_1 + """'>YouTube</a>, <a href='""" + PDF_URL + """'>PDF</a>, and <a href='""" + WEB_URL + """'>Web</a>
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<strong>data on GPT-4</strong
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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
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<li>Set "Retrieval Augmented Generation" to "<strong>Chroma</strong>" or "<strong>MongoDB</strong>" and submit prompt "What is GPT-4
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<li>Experiment with prompts, e.g. "What are GPT-4's media capabilities in 3 emojis and 1 sentence
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<li>Experiment some more, for example "What is the GPT-4 API's cost and rate limit? Answer in English, Arabic, Chinese, Hindi, and Russian in JSON format
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</ul>\n\n
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<strong>Technology:</strong> <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://openai.com/'>OpenAI</a> API with
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<a href='""" + WEB_URL + """'>GPT-4</a> foundation model, AI-native <a href='https://www.trychroma.com/'>Chroma</a> embedding database, and
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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 LLM use cases (semantic search, summarization, translation, etc.) on
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<a href='""" + YOUTUBE_URL_1 + """'>YouTube</a>, <a href='""" + PDF_URL + """'>PDF</a>, and <a href='""" + WEB_URL + """'>Web</a>
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<strong>data on GPT-4</strong>, 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 "<em>What is GPT-4?</em>" The LLM <strong>without</strong> RAG 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 "<em>What is GPT-4?</em>" The LLM <strong>with</strong> RAG knows the answer.</li>
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<li>Experiment with prompts, e.g. "<em>What are GPT-4's media capabilities in 3 emojis and 1 sentence?</em>", "<em>List GPT-4's exam scores and benchmark results.</em>", or "<em>Compare GPT-4 to GPT-3.5 in markdown table format.</em>"</li>
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<li>Experiment some more, for example "<em>What is the GPT-4 API's cost and rate limit? Answer in English, Arabic, Chinese, Hindi, and Russian in JSON format.</em>" or "<em>Write a Python program that calls the GPT-4 API.</em>"</li>
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</ul>\n\n
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<strong>Technology:</strong> <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://openai.com/'>OpenAI</a> API with
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<a href='""" + WEB_URL + """'>GPT-4</a> foundation model, AI-native <a href='https://www.trychroma.com/'>Chroma</a> embedding database, and
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