AI2-developed Macaw is a versatile question-answering model that works well outside its training domains. Macaw, based on the T5 architecture, comes in several sizes, with the macaw-answer-11b version topping leaderboards. With its largest model having 11 billion parameters, Macaw outperforms GPT-3, which has 175 billion. Its “multi-angle” training handles multiple input and output formats. The model excels at general knowledge, meta reasoning, hypothetical scenarios, and story comprehension. Macaw was developed by AI2’s Aristo team to create AI systems that can read, reason, and explain their responses.
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