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SET A:
The objective of this project is to get better answers for user queries from gpt-3 on a specific matter. The objective of this project is to get better answers for user queries from gpt-3 on a specific matter.
So, there can be some sectors, the data for those are not updated on gpt-3. To handle that, So, there can be some sectors, the data for those are not updated on gpt-3. To handle that,
we tried to follow the following steps: we tried to follow the following steps:
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5. Get all the things together such that, we can pass a query using the function user_query and get a solid answer. 5. Get all the things together such that, we can pass a query using the function user_query and get a solid answer.
6. The embedding model we used here is a basic embedding model, change the model and use openai's embedding model 'text-embedding-ada-002' 6. The embedding model we used here is a basic embedding model, change the model and use openai's embedding model 'text-embedding-ada-002'
7. Can we improve something in this process? Any suggestion you think of list it down. 7. Can we improve something in this process? Any suggestion you think of list it down.
8. Do you think you have a better idea to handle the whole process? Write a summary about the alternative approach. 8. Do you think you have a better idea to handle the whole process? Write a summary about the alternative approach.
SET B:
Problem:
We have a sets of rules for a specific game. Based on the rules, we will need to implement a system
to predict the optimal next move of a player.
Use this as reference of the rules: https://gamerules.com/rules/7-wonders-duel/
Make some different scenerios to test the system you built.