At Microsoft, we’re expanding AI capabilities by training small language models to achieve the kind of enhanced reasoning and comprehension typically found only in much larger models.
The paper does not explain the real interesting question to me, which is the reasoning strategy and its related system instruction for each sub-tasks, and how did they select the strategy for each clustered sub-task, manually or through some prompts by leveraging openai api.
If they did the main task by hand, then this paper is not insightful and useful at all.
The paper does not explain the real interesting question to me, which is the reasoning strategy and its related system instruction for each sub-tasks, and how did they select the strategy for each clustered sub-task, manually or through some prompts by leveraging openai api.
If they did the main task by hand, then this paper is not insightful and useful at all.