Researchers at Apple Propose ReDrafter: Changing Large Language Model Efficiency with Speculative Decoding and Recurrent Neural Networks

The development and refinement of large language models (LLMs) mark a significant step in the progress of machine learning. These sophisticated algorithms, designed to mimic human language, are at the heart of modern technological conveniences, powering everything from digital assistants to content creation tools. However, the journey towards creating responsive, accurate, and conversational AI has […]

The post Researchers at Apple Propose ReDrafter: Changing Large Language Model Efficiency with Speculative Decoding and Recurrent Neural Networks appeared first on MarkTechPost.

ai paper summary ai shorts algorithms apple applications artificial intelligence assistants decoding development digital digital assistants editors pick efficiency everything human language language model language models large language large language model large language models llms machine machine learning modern networks neural networks progress recurrent neural networks researchers staff tech news technology