笔者在此对当前主流LLM开源处理流程做survey StarCoder / StarCoder2 StarCoder2 是为数不多的code方面开源做的特别透明的(训练数据+模型+处理pipeline),Big Code Project 总能提供非常多的 code-intelligence 相关启发。StarCoder2 针对代码数据做了以下filter: ...
对于预训练,数据质量是模型效果的决定性因素,在LLM领域一份干净而高质量的数据胜过近乎一切trick。而对于LLM的训练语料,质量取决于 [单条数据质量 + 重复率 + data mixture配比]. 在上一章中,我们survey了数据质量的影响因素并总结了近期有影响力的 CodeLLM 在数据清洗上的做法。本章我们将关注去重部分: 如何解决...
下面作者从 LLM 和人的区别的角度总结了 NL2Code 任务的挑战和机遇。 「1. 理解能力」:人类能够理解不同抽象层次的各种描述,相比之下,当前的 LLM 往往对给定的上下文敏感,这可能会导致性能下降。一个潜在的解决方案是把复杂的问题拆分成多个简单的问题。总而言之,作者认为探索 LLM 的理解能力是一个重要的研究方向...
A collection of survey papers and resources related to Large Language Models (LLMs). - junzhuang-code/LLMSurveySummary
LLM Code Tasks The exploration and development of Code LLMs (Large Language Models) has advanced significantly, addressing variouscode-related tasks to streamline and enhance thesoftware development processandLLMOps. The following are the most relevant tasks in which LLMs are exhibiting proficiency: ...
This is the repo for our TMLR survey Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code - a comprehensive review of LLM researches for code. Works in each category are ordered chronologically. If you have a basic understanding of machine learning but...
@@ -10,27 +10,27 @@ This is the repo for our survey [Unifying the Perspectives of NLP and Software E 🔥🔥🔥 [2024/05] Latest papers: - 🔥🔥 [Multiple-Choice Questions are Efficient and Robust LLM Evaluators](https://arxiv.org/abs/2405.11966) from Shanghai Jiao Tong Univers...
但 PyCharm 还是有着非常强的危机感,毕竟 VS Code 的增长速度极快,它已经从 2017 年的 7%,快速上升到了 24%。 最后,想进一步看完整的 Python 开发者调查报告?点击以下链接访问: https://www.jetbrains.com/lp/python-developers-survey-2019/
Although the field has expanded and is vibrant, there hasn't been a concise framework that analyzes the various methods of LLM Inference to provide a clear understanding of this domain. Our survey stands out from traditional literature reviews by not only summarizing the current state of research...
The prominent large language models (LLMs) of today differ from past language models not only in size, but also in the fact that they are trained on a combination of natural language and formal language (code). As a medium between humans and computers, code translates high-level goals into...