A new technique for training large language models has been developed by OpenAI. The method, called 'Efficient Training of Language Models to Fill in the Middle', aims to improve the efficiency and speed of model training. By focusing on the middle layers of a transformer architecture, the approach reduces computational requirements while maintaining performance. According to the authors, this technique can be used for various natural language processing tasks, including text generation and question answering. --- Why it matters: This matters because large language models are computationally expensive to train, making them inaccessible to many researchers and organizations. This new method could enable more efficient training of these models, opening up opportunities for innovation in AI research and development. Source: https://openai.com/index/efficient-training-of-language-models-to-fill-in-the-middle