由此引出Beam Search为什么不行:如果一个理想的代码生成程序知道了当前生成的程序一定会失败,就应该在早期就停止生成。因此作者使用planning方法,将生成程序的通过率作为目标,确定代码的生成质量。 具体而言:每次transformer要生成一个token的时候,就使用planner作前瞻搜索,找到通过率最高的token。因为token太多了,在planner...
This technology leveragesNatural Language Processing (NLP) and machine learning algorithms, often trained on vast datasets of code examples from open-source projects and other resources. Examples of Text-to-Code AI Models Codex by OpenAI: Codex powers the popular GitHub Copilot and is capable of u...
该文综述,将代码生成定义为自然语言到代码的任务(NL2Code)。 虽然最近的调查已经从自然语言处理(NLP)、软件工程(SE)或两者的结合[91, 264, 271, 278]的角度阐述了代码LLMs,但它们经常涵盖了一系列广泛的代码相关任务。然而,关于代码生成的高级主题,如细致的数据策划、指令调整、与反馈的对齐、提示技术、自主编码...
CodeLlama模型在某些任务中的表现较弱,但在资源受限的环境中仍有潜力。总体而言,模型在不同语言中的表现差异显著,选择合适的模型需结合具体语言和任务需求。 用户研究 为评估CODEGUARDIAN的应用效果,研究进行了用户实验,涉及22名工业软件工程师。实验结果显示,使用CODEGUARDIAN的实验组在任务准确性上提高了203%,完成时间...
PaLM is a large language model developed by Google AI. The LLM is coming up to be one of the most powerful AI language models as it has access to Google’s vast dataset for training. It represents a breakthrough in machine learning and responsible AI. PaLM is currently under development,...
so prediction sets can be arbitrary subsets of labels. For structured prediction problems where the space of labels is exponential in size, even prediction sets containing a small fraction of all labels can be exponentially large. In the context of code generation, we propose a solution that cons...
Kaplan J, McCandlish S, Henighan T, et al. Scaling laws for neural language models[J]. arXiv preprint arXiv:2001.08361, 2020. 如下图所示,在运算量的增加过程中,参数规模的增加可以起到更关键的作用。在给定的计算量且参数规模较小时, 增大模型参数量对于模型效果的贡献,远优于增加数据量和训练步数。
Large language models are unlocking new possibilities in areas such as search engines, natural language processing, healthcare, robotics and code generation. The popularChatGPTAI chatbot is one application of a large language model. It can be used for a myriad of natural language processing tasks....
Current code instruction datasets, which are essential for instruction-tuning tasks, are often disorganized, monolingual, and single-programming language focused, while covering an insufficient variety of tasks. Open-source datasets for instruction tuning in coding tasks are also scarce....
Generally, various open-source large language models for code incorporate the Fill in the Middle (FIM) mode during pre-training to enhance the model's ability to generate more accurate results when considering the code context. Therefore, we will use FIM as the default code completion method to...