This is a solid overview, but I’m curious, what’s the eval setup used for these benchmarks? I’ve seen way too many developers fall for demo-only tricks that look great in isolation but completely break under real-world load AI systems studies
This approach looks promising, but what’s the eval setup for these benchmarks? I’ve seen way too many 'demo-only tricks' in production codebases that simply fall apart once you hit more than 50 concurrent requests per second AI news
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