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unit: def main()
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id: 2
unit: def wrangle_like_data()
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id: 3
unit: def bradley_terry_comparison()
file: ml/eval/bt.py
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id: 4
unit: def format_history_as_messages()
file: app/app.py
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id: 5
unit: def train_dpo_model()
file: ml/dpo_pipeline.py
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id: 6
unit: def load_languages()
file: app/app.py
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id: 7
unit: def process()
file: data/generate_dpo.py
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id: 8
unit: def transform_rlhf_dataset()
file: ml/dataset_transformer.py
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id: 9
unit: def call_pipeline()
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id: 10
unit: def test_example()
file: ml/dataset_transformer.py
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id: 11
unit: def save_new_language()
file: app/app.py
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id: 12
unit: def evaluate_data()
file: ml/eval/reward_eval.py
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id: 13
unit: def extract_dialogue()
file: ml/trl_rlhf_data.py
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id: 14
unit: def submit_conversation()
file: app/app.py
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id: 15
unit: def load_model_and_tokenizer()
file: ml/trainer.py
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id: 16
unit: def process()
file: data/generate_dpo.py
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id: 17
unit: def judge_responses()
file: ml/eval/alpaca.py
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id: 18
unit: def generate_responses()
file: ml/eval/generate.py
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id: 19
unit: def load_latest_adapter()
file: ml/trainer.py
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id: 20
unit: def get_persistent_storage_path()
file: app/app.py
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id: 21
unit: def prepare_oasst_sft_results()
file: ml/eval/generate.py
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id: 22
unit: def generate_files()
file: ml/eval/generate.py
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id: 23
unit: def jdump()
file: ml/eval/utils.py
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id: 24
unit: def load_model_and_tokenizer()
file: ml/eval/generate.py
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id: 25
unit: def get_reward_output_fn()
file: ml/eval/reward_eval.py
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id: 26
unit: def format_system_message()
file: app/app.py
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id: 27
unit: def evaluator_master_fn()
file: ml/eval/evaluation_pipeline.py
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id: 28
unit: def update_dataframe()
file: app/app.py
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id: 29
unit: def add_user_message()
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id: 30
unit: def main()
file: ml/eval/bt.py
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id: 31
unit: def process_evaluation()
file: ml/eval/reward_eval.py
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id: 32
unit: def to_dict()
file: ml/adapter_metadata.py
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id: 33
unit: def __post_init__()
file: ml/trainer.py
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id: 34
unit: def common_start()
file: ml/trl_rlhf_data.py
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id: 35
unit: def _process_rating()
file: app/app.py
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id: 36
unit: def wrangle_edit_data()
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id: 37
unit: def wrangle_retry_data()
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id: 38
unit: def get_config()
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id: 39
unit: def alpaca_evaluator()
file: ml/eval/alpaca.py
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id: 40
unit: def _convert_path_to_data_uri()
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id: 41
unit: def _process_content()
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id: 42
unit: def add_fake_like_data()
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id: 43
unit: def update_visibility()
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id: 44
unit: def print_metrics()
file: ml/eval/bt.py
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id: 45
unit: def get_adapter_path()
file: ml/trainer.py
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id: 46
unit: def runner()
file: ml/trl_rlhf_data.py
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id: 47
unit: def _is_file_safe()
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id: 48
unit: def respond()
file: app/app.py
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id: 49
unit: def on_app_load()
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id: 50
unit: def save_feedback()
file: app/feedback.py
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id: 51
unit: def jload()
file: ml/eval/utils.py
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id: 52
unit: def __post_init__()
file: ml/eval/evaluate_arguments.py
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id: 53
unit: def transform_conversation()
file: ml/kto_dataset_processor.py
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id: 54
unit: def process_feel_dataset()
file: ml/kto_dataset_processor.py
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id: 55
unit: def save_results()
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id: 56
unit: def save_results()
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id: 57
unit: def _make_r_io_base()
file: ml/eval/utils.py
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id: 58
unit: def load()
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id: 59
unit: def load_oasst_test_dataset()
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id: 60
unit: def load_rewards()
file: ml/eval/bt.py
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id: 61
unit: def create_model()
file: ml/eval/reward_eval.py
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id: 62
unit: def create_tokenizer()
file: ml/eval/reward_eval.py
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id: 63
unit: def save()
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id: 64
unit: def outputs()
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id: 65
unit: def inputs()
file: data/generate_dpo.py
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id: 66
unit: def outputs()
file: data/generate_dpo.py
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id: 67
unit: def create_inference_client()
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id: 68
unit: def open_add_language_modal()
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id: 69
unit: def close_add_language_modal()
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id: 70
unit: def initialize_consent_status()
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id: 71
unit: def handle_consent()
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id: 72
unit: def format_prompt()
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id: 73
unit: def jdumps()
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id: 74
unit: def MyAccelerator()
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id: 75
unit: def from_dict()
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