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@@ -14,40 +14,22 @@ widget:
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  Question: Who is the king of the jungle?'\n
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  Answer:
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- example_title: Knowledge-AI
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  - text: >-
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- Below is an instruction that describes a task. Write a response that
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- appropriately completes the request.
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-
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- Instruction: Write a poem on cows
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- Response:
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- example_title: Poem Generation
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  - text: >-
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- Below is an instruction that describes a task. Write a response that
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- appropriately completes the request.
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-
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- Instruction: What is the meaning of life?
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  Response:
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  example_title: Philosophy
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- - text: >-
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- Below is an instruction that describes a task. Write a response that
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- appropriately completes the request.
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- Instruction: Why is the sky blue?
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-
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- Response:
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- example_title: Knowledge-sky
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- - text: >-
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- Below is an instruction that describes a task. Write a response that
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- appropriately completes the request.
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-
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- Instruction: Define the term torque.
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-
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- Response:
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- example_title: Knowledge-torque
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  inference:
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  parameters:
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  temperature: 0.7
@@ -172,9 +154,9 @@ The prompt format was inspired from both Alpaca dataset (tatsu-lab/alpaca) and L
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  The parameters I used for inference are:
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  ```
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- top_k=20
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- top_p=.9
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- temperature = .7
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  ```
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  Question: Who is the king of the jungle?'\n
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  Answer:
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+ example_title: Knowledge - Animal kingdom
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  - text: >-
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+ Read the question and give an honest answer. Your answers should not include any unethical, racist, sexist, dangerous, or illegal content. If the question is wrong, or does not make sense, accept it instead of giving the wrong answer.\n
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+ Question: Who is Kobe Bryant?
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+ Answer:
 
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+ example_title: Knowledge - Sports
 
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  - text: >-
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+ Read the question and give an honest answer. Your answers should not include any unethical, racist, sexist, dangerous, or illegal content. If the question is wrong, or does not make sense, accept it instead of giving the wrong answer.\n
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+ Question: What is the meaning of life?
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+ Answer:
 
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  Response:
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  example_title: Philosophy
 
 
 
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  inference:
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  parameters:
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  temperature: 0.7
 
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  The parameters I used for inference are:
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  ```
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+ top_k=50
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+ top_p=0.9
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+ temperature = 0.7
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  ```
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