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Routing Different Models by Task Reduces Errors and Costs
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They got 46% fewer errors than the single best LLM, at a FRACTION of the cost. that's the router that researchers who worked at DeepMind, Anthropic, and Meta have been working on. using a single model for every task is very inefficient. you either pay frontier prices on easy work, or you put a dumb model on a hard task. but a smart router puts the right model on the right task. from cheap models for the simple prompts, to Opus / GPT for complex tasks. check out AI Frontier router by…
withmartian@withmartianSep 3
We got 46% fewer errors than the single best LLM across the 16 most used benchmarks (TerminalBench, LiveCodeBench, etc). Here's how that's possible and what each model can achieve when used optimally (every benchmarks misses the majority of model capabilities) 👇 Interactive Site: https://t.co/6ZqljIhKBh Academic Paper: https://t.co/AX7QEMtEF5
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