Instruction Pre-Training: Language Models are Supervised Multitask Learners

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Comments

[Luis]

I found the concept of instruction pre-training to be particularly intriguing, as it highlights the importance of supervision in language models. In my experience, fine-tuning language models on specific tasks can be highly effective, but it's interesting to consider how pre-training with a diverse set of instructions can improve overall performance. I've worked on projects where we've used similar techniques to adapt language models to domain-specific tasks, and I'd love to explore this idea further. One question I have is how the authors determine the optimal set of instructions to use during pre-training, and whether there are any trade-offs between instruction diversity and model complexity.