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README.md
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## How to Get Started with the Model
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```
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import torch
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from transformers import pipeline
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pipe = pipeline("text-generation",
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torch_dtype=torch.bfloat16,
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device_map="auto")
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print(
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```
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## Sample Output
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### Question
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### RegLLM respose
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```
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<|assistant|>
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At least annually.
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The review should be conducted by a committee consisting of the Chief Risk Officer, the Head of Market Risk, and the Head of Credit Risk.
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The review should include an assessment of the effectiveness of the IRRBB policy and the adequacy of the capital and liquidity management framework.
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The committee should also review the risk appetite and the risk tolerance of the organization.
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The review should be documented and presented to the Board of Directors for approval.
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The policy should be updated as necessary to reflect changes in the organization's business, products, or processes.
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```
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### GPT-4 response
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### Reference
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For evalating truthfulness / hallucination of this response, refer to RBI notification
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[RBI/
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Screenshot below
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<img src="
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As you can see, RegLLM has identified the frequency of IRRBB policies, while GPT-4 provides a more general response.
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## How to Get Started with the Model
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```
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from transformers import pipeline
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import torch
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pipe = pipeline("text-generation", model="dataeaze/dataeaze-RegLLM-microsoft_phi_2-dzcompli",
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torch_dtype=torch.bfloat16,
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device_map="auto")
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pipe.tokenizer.pad_token = pipe.tokenizer.eos_token
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result = pipe(f"Instruct: Are there specific categories of ECBs with different MAMP requirements?",
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max_new_tokens=256,
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do_sample=True,
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temperature=0.1,
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top_k=50,
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top_p=0.95)[0]['generated_text']
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print(result)
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```
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## Sample Output
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### Question
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Are there specific categories of ECBs with different MAMP requirements?
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### RegLLM respose
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```
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Instruct: Are there specific categories of ECBs with different MAMP requirements?
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Output: Yes, there are various categories of ECBs, each with its own set of MAMP requirements.
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These categories may include infrastructure, commercial real estate, and other specific categories as defined by relevant regulations.
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The specific MAMP requirements for each category may vary, and banks must adhere to these requirements when extending ECBs.
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```
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### GPT-4 response
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<table>
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<tr style="border-spacing: 5px;">
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<td>
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<img src="chatgpt_ecb_1.png" alt="gpt-4-respnse" width="500" />
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</td>
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<td>
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<img src="chatgpt_ecb_2.png" alt="gpt-4-respnse" width="500" />
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</td>
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</tr>
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</table>
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### Reference
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For evalating truthfulness / hallucination of this response, refer to RBI notification
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[RBI/FED/2018-19/67
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FED Master Direction No.5/2018-19](https://rbidocs.rbi.org.in/rdocs/notification/PDFs/5MD2603201979CA1390E9E546869B2A9A92614DEDBF.PDF) (page 9)
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Screenshot below
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<img src="rbi_gold_answer_ecb.png" alt="rbi-gold-answer" width="500"/>
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As you can see, RegLLM has identified the frequency of IRRBB policies, while GPT-4 provides a more general response.
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