缺失信息(例如AlphaCode的位置嵌入类型)为空白。 表4:预训练代码模型的Pass@1性能(顶部),指令微调的代码模型(中部),与一些最好的通用语言模型进行比较(底部),每个类别的模型按时间顺序排列。 论文标题:A Survey on Language Models for Code 论文链接:https://arxiv.org/abs/2311.07989v1...
除此之外,本文还讨论了code-specific features,比如AST,CFG和单元测试,以及它们在训练code语言模型的应用和在这个领域的潜在未来方向。 背景 这一部分快速浏览Transformer-based language modeling的前置知识 Causal Language Modeling Unidirectional language models(单向语言模型)也叫做causal language models(因果推理模型) ...
In addition, we discuss challenges and opportunities regarding the gap between models and humans. We also create a website this https URL to track the latest progress through crowd-sourcing. To the best of our knowledge, this is the first survey of large language models for NL2Code, and we...
Large language modelsRecommendation systemLarge Language Models (LLMs) have emerged as powerful tools in the field of Natural Language Processing (NLP) and have recently gained significant attention in the domain of Recommendation Systems (RS). These models, trained on massive amounts of data using...
Recently, through the acquisition of vast amounts of Web knowledge, large language models (LLMs) have shown potential in human-level intelligence, leading to a surge in research on LLM-based autonomous agents. In this paper, we present a comprehensive survey of these studies, delivering a ...
简介:本文将详细解读LLMs:《A Survey of Large Language Models大语言模型综述》的序言部分,概述大型语言模型(LLMs)的挑战、发展历程中的四个阶段,以及LLMs与AI未来的关系。本文旨在帮助读者更好地理解大型语言模型的前沿技术和应用前景。 满血版DeepSeek,从部署到应用,全栈都支持 快速部署、超低价格、极速蒸馏、应...
随着人工智能技术的飞速发展,大语言模型(Large Language Models,简称LLMs)已成为近年来最引人瞩目的技术之一。本文旨在通过翻译与解读《A Survey of Large Language Models》这篇综述文章,为读者揭示LLMs的内在机制、发展历程以及所面临的挑战,并探讨它们在现代计算领域中的广泛应用。 首先,我们需要了解LLMs背后的核心...
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...
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Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code with LLM from natural language descriptions. This burgeoning field has captured significant interest from both academic ...