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A 7B parameter model, guided by a novel RL framework, can now generate multi-page websites that rival the functionality of a 671B parameter model, while surpassing it in visual appeal.
LLMs can be fine-tuned more efficiently by adapting experts in the frequency domain, leading to better performance with fewer parameters.
Forget external debuggers: ReflexiCoder teaches LLMs to self-reflect and self-correct code, rivaling GPT-5.1 in performance while slashing inference costs by 40%.
