Google DeepMind has launched InfAlign, a new machine learning framework aimed at improving the alignment and performance of generative language models during the inference phase. By integrating inference strategies into the alignment process, InfAlign seeks to enhance the overall effectiveness of language models in real-world applications.

Google DeepMind has launched InfAlign, a new machine learning framework aimed at improving the performance of generative language models during the inference phase. This framework integrates inference strategies with reinforcement learning to enhance alignment and efficiency, demonstrating significant improvements in model success rates across various tasks.