Language Model Programming Background: Large Language Models 这一部分讲的是基础知识,不再赘述。 Key Challenges Interaction: 在解码过程中与语言模型(LM)的交互仍然是一个挑战。文章提到了Reynolds和McDonell在2021年的研究,讨论了元提示(meta prompts)的概念。在这种方法中,为了得到对一个特定问题的答案,首先需...
为了启用 LMP,论文实现了 LMQL(Language Model Query Language),它利用来自 LMP prompt的约束和控制流,以生成有效的推理过程,最大限度地减少对底层语言模型的昂贵调用的数量。 论文通过实验证明 LMQL 可以以直观的方式追上各种最先进的提示方法,特别是促进使用现有高级 API 难以实现的交互流程。 论文实验的评估表明我...
oflargelanguagemodels(OpenAI,2023;Touvronetal.,2023),whichhavebroughtabout aneweraofcodeintelligence.Thesemodelshavethepotentialtoautomateandstreamline manyaspectsofcoding,frombugdetectiontocodegeneration,therebyenhancingproductivity andreducingthelikelihoodofhumanerror.However,amajorchallengeinthisfieldisthe ...
programming educationReactdebuggingRecent advancements in Large Language Models (LLMs) like ChatGPT and Copilot have led to their integration into various educational domains, including software development education. Regular use of LLMs in the learning process is still not well-researched; thus, this...
models and systems (Asunda et al.,2023; Gadanidis,2017; Markauskaite et al.,2022). The rapid emergence of large language model-based generative artificial intelligence (LLM-based GenAI) has made people across the globe recognise that AI presents significant societal, economic, and ethical ...
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario...
Programming often involves converting detailed and complex specifications into code, a process during which developers typically utilize visual aids to more effectively convey concepts. While recent developments in Large Multimodal Models have demonstrated remarkable abilities in visual reasoning and mathematical...
This talk will explore the implications of this prediction, drawing on recent research into the cognitive and task execution capabilities of large language models. Matt Welsh是Fixie.ai的联合创始人兼首席架构师,这是一家位于西雅图的初创公司,致力于开发以AI为核心的新计算平台。他曾担任OctoML的工程负责人...
这里用《A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners》的case来进行说明。 合取谬误问题: Linda problem 是一个很有趣的问题,简单来说就是有如下这么一个问题:下面哪个选项的描述可能性更大? A.Linda是一名女教师; B.Linda是一名女教师,并且喜欢瑜伽。从概率的角度来讲B的...
Training DataBenchmark Code GenerationAPPSdeepseek-ai/deepseek-coder-6.7b-instructIntroductory Pass@133.80# 5 Compare Interview Pass@119.70# 4 Compare Competition Pass@111.09# 5 Compare Code GenerationMBPPGPT-3.5 Turbo (few-shot)Accuracy70.8# 26 ...