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@@ -56,6 +56,18 @@ llm = AutoModelForCausalLM.from_pretrained("Ranjanunicode/unicode-llama-2-chat-H
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  print(llm("AI is going to"))
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Out-of-Scope Use
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  print(llm("AI is going to"))
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  ```
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+ ```
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+ The model will try to autocomplete {AI is going to}:
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+ be a game-changer for the financial services industry, with applications including customer service chatbots, fraud detection and prevention, portfolio management, and more. Here are some potential benefits of using AI in finance:
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+
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+ 1. Improved Efficiency: AI can automate many routine tasks, freeing up staff to focus on higher-value activities such as financial planning and analysis.
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+ 2. Enhanced Customer Experience: AI-powered chatbots and virtual assistants can provide 24/7 customer support, helping to improve customer satisfaction and loyalty.
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+ 3. Increased Accuracy: AI can help reduce errors and improve accuracy in financial transactions, such as fraud detection and prevention.
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+ 4. Better Risk Management: AI can help identify potential risks and make more informed decisions about investments, lending, and other financial activities.
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+ 5. Improved Portfolio Management: AI can help create better-performing portfolios by analyzing market trends, identifying new investment opportunities, and making adjustments to existing portfolios.
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+ 6. Fraud Detection and Prevention: AI-powered
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+ ```
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+
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  ### Out-of-Scope Use
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