Replace limitations with roadmap note
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README.md
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@@ -80,18 +80,11 @@ qa.ask("what is the capital of France?") # not in your docs
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# {'answer': None, 'source': None, 'confidence': 0.0}
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```
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##
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sentences ("ATA chapter 32 is Landing Gear.") for large accuracy gains.
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- TF-IDF retrieval is lexical, so paraphrases sharing no words with your
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documents may cause (safe) abstentions.
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- Single training run, single seed, in-domain calibration.
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Full writeup, ablations (the 22.4 to 74.6 EM ladder above), and negative
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results are in the project repository's `paper/`.
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## Training
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# {'answer': None, 'source': None, 'confidence': 0.0}
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```
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## Roadmap
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Today the model answers one self-contained question at a time. A conversational
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grounding layer (multi-turn context and follow-up questions, with every answer
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still a verified quote) is coming.
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## Training
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