A novel, quantum model for NLP: a step towards AGI.

像ChatGPT这样的大型语言模型最近在用户感知的功效方面经历了一个台阶的变化，因此它们引起了记者的注意，然后引起了公众的想象。这些人工智能系统似乎可以对用户提出的问题做出回答，这些问题既丰富又具有丰富的专业知识。这一新兴但非常有用的技术突破在各行各业的应用才刚刚开始变得明显。大型语言模型是有效的，因为它们通过摄取整个万维网的过程，在它们的模型中捕获并编纂了所有人类知识的重要部分。由此产生的模型大得惊人（例如，ChatGPT3包含大约1750亿个参数），因此，这些模型需要几个月的时间来训练，并使用大量的功率来运行。我们的目的是建立一个类似于Chat-GPT的大型语言模型人工智能系统，利用量子计算引擎。该系统应采用与当前系统根本不同的处理、模型和系统架构，从而导致最终系统的效率和功率发生阶梯式变化。我们将构建运行这样一个系统的软件，并在两种培训模型中展示其提高的效率，在培训过程中，在执行速度和运行时的能源使用方面，它将更加节能。这些基准应按照联盟所理解的NLP和语音处理行业的要求执行。

Large language models such as ChatGPT have recently undergone a step-change in their user-perceived efficacy, and as such they have caught the attention of journalists and then the imagination of the general public. These A.I. systems appear to deliver responses to user-posed questions that are both informative and delivered with substantial expertise. The application of this nascent, yet extraordinarily useful, technical breakthrough across whole ranges of industries is only starting to become apparent.Large language models are effective since they capture and codify, in their models, significant portions of all human knowledge, through the process of ingesting the entirety of the World-Wide-Web. The resultant models are staggeringly large (for example, ChatGPT3 contains some 175 billion parameters) and thus, these models take months to train and use a great deal of power to run.It is our intention to build a Chat-GPT like large language model A.I. system that utilises a quantum calculation engine. The system shall employ a fundamentally different processing, model and systems architecture to current systems, leading to a step change in the efficiency and power of the resultant system. We shall build software to run such a system and demonstrate its increased efficiency in both training models, which shall be much more energy efficient during the training process, and in speed of execution and energy use when in operation. These benchmarks shall be performed against the requirements of the NLP and voice processing industry as understood by the consortium.