自从LLM的发展,LLM4Code已经生成一个落地比较强的方向了,比较好的产品就是github的copilot。 这些天看了不少code的相关paper,准备花几篇文章大概总结一下,主要总结一些有价值的点,细节就不展开了。细节可以自己去看下原文 主要的方向就是code review,code generation等 一、GPT-3.5 for Code Review Automation: Ho...
论文将CODEFUSION与自回归代码模型和文本扩散模型在三种语言的NL-to-code任务中进行了比较。 论文标题:CODEFUSION: A Pre-trained Diffusion Model for Code Generation 论文链接:https://arxiv.org/abs/2310.17680
What’s Wrong with Your Code Generated by Large Language Models? An Extensive Study - LLMCodeGenerationStudy/LLMCodeGenerationStudy
Sep 20, 20242 mins Technology IndustryJavaScriptProgramming Languages video How to implement "modes" in software, with a game as an example Sep 12, 20244 mins Python video Powerful Python source code processing with "ast" Sep 10, 20249 mins ...
Please generate some instruction fine-tuning data for code generation to train the LLM and improve its performance. Please refer to following Examples for generation. The generated content especial the function name should be very different from following Examples of Dataset. ...
4. 固定 Text generation Web UI 公网地址 前言 本篇文章介绍如何在本地部署 Text generation Web UI 并搭建 Code Llama 大模型运行,并且搭建 Code Llama 大语言模型,结合 Cpolar 内网穿透实现公网可远程使用 Code Llama。 Code Llama 是一个可以使用文本提示生成代码的大型语言模型 (LLM)。可以使当前开发人员的工...
本篇文章介绍如何在本地部署 Text generation Web UI 并搭建 Code Llama 大模型运行,并且搭建 Code Llama 大语言模型,结合 Cpolar 内网穿透实现公网可远程使用 Code Llama。 Code Llama 是一个可以使用文本提示生成代码的大型语言模型 (LLM)。可以使当前开发人员的工作流程更快、更高效,并降低学习编码人员的进入门槛...
SOTA OpenSource code generation model on par with GPT-4 & Beating Google Gemini Ultra, Claude -2 etc. program-synthesiscode-generationcode-genlarge-language-modelsllm UpdatedJan 10, 2024 Python bbredesen/vk-gen Star11 Code generation to create a Go binding for the Vulkan graphics API. ...
Code generation The following examples show Python code generation using Code Llama. We first run the following code: prompt="""\ Write a python function to traverse a list in reverse. """payload={"inputs":prompt,"parameters":{"max_new_tokens":256,"temperature":0.2,"top_p...
Furthermore, we test the potential of the workflow at scale with four different state-of-the-art LLMs on two python datasets, using an idealized proxy for a user feedback. We observe an average absolute improvement of 45.97% in the pass@1 code generation accu...