yizhongw/self-instruct
Aligning pretrained language models with instruction data generated by themselves.
Expanding natural instructions
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Aligning pretrained language models with instruction data generated by themselves.
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Measuring Massive Multitask Language Understanding | ICLR 2021
A benchmark for LLMs on complicated tasks in the terminal
Pretraining, fine-tuning and evaluation scripts for IndicBERT-v2 and IndicXTREME
Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.