Google Research and Google DeepMind have made a significant advancement in the field of artificial intelligence (AI) by developing a method to augment a large language model (LLM) with other language models. This approach solves a major challenge in LLM development by enabling existing models to acquire new capabilities without the need for starting from scratch or expensive retraining.
In their experiments, Google's PaLM2-S model was initially benchmarked alone and then enhanced with smaller, specialized language models. The augmented model showed substantial improvements in various tasks. Notably, in coding tasks, PaLM2-S augmented with a code-specific model displayed a remarkable 40% improvement over the baseline model, achieving performance on par with fully fine-tuned counterparts. This enhancement was also evident in translation tasks, where the augmented version demonstrated a 13% improvement.
This breakthrough in AI research has broader implications, particularly in addressing legal concerns that loom over the AI sector, potentially impacting platforms like ChatGPT.
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