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| Cedille: A large autoregressive French language model | |
| The Wisdom of Hindsight Makes Language Models Better Instruction Followers | |
| ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks | |
| Query2doc: Query Expansion with Large Language Models | |
| The Internal State of an LLM Knows When its Lying | |
| Structured information extraction from complex scientific text with fine-tuned large language models | |
| TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models | |
| Large Language Models Encode Clinical Knowledge | |
| PoET: A generative model of protein families as sequences-of-sequences |
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| #!/usr/bin/env python2.6 | |
| # Converts an arbitrary file to MIDI. Obviously. | |
| # Note the output files can be.. long (a 25KiB file becomes about 10 hours), | |
| # and may cause players to lockup while opening (the aforementioned 10 hour | |
| # file took Quicktime Player 7 about 5-10 seconds to open) | |
| import smidi | |
| def fileToMidi(input_fname, output_fname): |
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| #!/usr/bin/env python2.6 | |
| # Converts an arbitrary file to MIDI. Obviously. | |
| # Note the output files can be.. long (a 25KiB file becomes about 10 hours), | |
| # and may cause players to lockup while opening (the aforementioned 10 hour | |
| # file took Quicktime Player 7 about 5-10 seconds to open) | |
| import smidi | |
| def fileToMidi(input_fname, output_fname): |