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README.md
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@@ -7,5 +7,6 @@ What I did:
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- Curated StackOverflow and other StackExchange subforums for some good examples that were **not** GPT generated, including writing advice & other real world questions.
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- Duplicated said examples with different prompt formatting (so it would generalize to both Alpaca & the official llama2-chat prompt layouts)
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- Two long context outliers to ensure long context works (a TV episode script, 10k tokens, and the first few chapters of 1984, 32k tokens.)
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This comes out to about ~60k tokens total, give or take.
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- Curated StackOverflow and other StackExchange subforums for some good examples that were **not** GPT generated, including writing advice & other real world questions.
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- Duplicated said examples with different prompt formatting (so it would generalize to both Alpaca & the official llama2-chat prompt layouts)
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- Two long context outliers to ensure long context works (a TV episode script, 10k tokens, and the first few chapters of 1984, 32k tokens.)
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- Another example which is a combination of the one shot responses one after the other in a long context (to help teach the model to sometimes ignore older parts of context when appropriate and not overfit/repeat)
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This comes out to about ~60k tokens total, give or take.
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