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Generative Assessment and Model Training
This chapter delves into the generative assessment project, comparing different language models and exploring their strengths and weaknesses. It discusses a paper on self-alignment with instruction back translation and the impressive results of training models on instructions. The chapter also explores the importance of unlabeled and external data, as well as the challenges and significance of offline reinforcement learning.