intro
Browse files
app.py
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@@ -20,15 +20,29 @@ head = """
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"""
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with gr.Blocks(head=head) as demo:
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with gr.Tab("
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gr.Markdown("""
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------------
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- https://huggingface.co/spaces/kevinhug/clientX
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- https://kevinwkc.github.io/davinci/
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gr.Markdown("""
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Objective: Recommend RBC product based on persona.
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================================================
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@@ -62,19 +76,6 @@ Relevant offers encourage repeat visits and build long-term loyalty.
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- Inventory Optimization
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Promotes underperforming products or clears surplus stock with strategic recommendations.
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If you're experiencing declining market share or inefficiencies in your operations, here's how I can help:
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==============
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Marketing
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------------
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- GraphRAG: Models customer-product relationship networks for next-best-action predictions
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- DSPy: Optimizes cross-sell/upsell prompt variations through A/B testing
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Risk & Audit
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------------
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- GraphRAG: Maps transactional relationships into dynamic knowledge graphs to detect multi-layered fraud patterns
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- Tool Use: Integrates fraud detection APIs, anomaly scoring models, and regulatory compliance checkers
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- DSPy: Optimizes fraud explanation prompts for regulatory reporting
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""")
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with gr.Tab("Tool Use"):
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"""
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with gr.Blocks(head=head) as demo:
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with gr.Tab("Intro"):
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gr.Markdown("""
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If you're experiencing declining market share, inefficiencies in your operations, here's how I can help:
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==============
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Marketing/Client Experience
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------------
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- GraphRAG: Models customer-product relationship networks for next-best-action predictions
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- DSPy: Optimizes cross-sell/upsell prompt variations through A/B testing
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Risk & Audit
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------------
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- GraphRAG: Maps transactional relationships into dynamic knowledge graphs to detect multi-layered fraud patterns
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- Tool Use: Integrates fraud detection APIs, anomaly scoring models, and regulatory compliance checkers
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- DSPy: Optimizes fraud explanation prompts for regulatory reporting
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- Explainable AI: Intuitive visualization to help stakeholder understand model risk and flaw
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Other Links:
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------------
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- https://huggingface.co/spaces/kevinhug/clientX
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- https://kevinwkc.github.io/davinci/
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""")
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with gr.Tab("RAG"):
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gr.Markdown("""
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Objective: Recommend RBC product based on persona.
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================================================
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- Inventory Optimization
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Promotes underperforming products or clears surplus stock with strategic recommendations.
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""")
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with gr.Tab("Tool Use"):
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