我们使用 ChatGPT 去创建这个数据集，通过问它类似这样的问题:Generate a bunch of instructions for coding questions in python (in the format of {"prompt": instruction})或者Can you generate 5 examples of instructions, with the same format {"prompt": text}, where the instruction has a piece of ...
This is enabled by the model’s 8k token context length, which allows one to include a wide variety of programming examples and covert the model into a coding assistant. Here’s an excerpt of the StarCoder prompt: Below are a series of dialogues between various people and an AI technical ...
This is enabled by the model’s 8k token context length, which allows one to include a wide variety of programming examples and covert the model into a coding assistant. Here’s an excerpt of the StarCoder prompt: Below are a seriesofdialogues between various peopleandan AI technical assistan...
💫 StarCoder can be fine-tuned to achieve multiple downstream tasks. Our interest here is to fine-tune StarCoder in order to make it follow instructions.Instruction fine-tuninghas gained a lot of attention recently as it proposes a simple framework that teaches language models to align their ...
# -*- coding:utf-8 -*- import calendar mdays = calendar.mdays #读取calendar模块中定义的常量mdays print(mdays) d_isleap = calendar.isleap(2021) #判断瑞年 print(d_isleap) d_weekday = calendar.weekday(2021, 10, 6) #返回星期几
Python高级语法:魔法函数 介绍的魔法函数有(持续更新): __ init__()、__ str__()、__ new__()、__ unicode__()、 __ call__()、 __ len__()、 __repr__()、__ setattr__()、 __ getattr__()、 __ getattribute__()、 __ delattr__()、__ setitem__()、 __ getitem__()、_...
awesome-python 是 vinta 发起维护的 Python 资源列表,内容包括:Web 框架、网络爬虫、网络内容提取、模板引擎、数据库、数据可视化、图片处理、文本处理、自然语言处理、机器学习、日志、代码分析等。由「开源前哨」和「Python开发者」微信公号团队维护更新。
STAR法则是情境(situation)、任务(task)、行动(action)、结果(result)四项的缩写。STAR法则是一种常常被面试官使用的工具,用来收集面试者与工作相关的具体信息和能力。STAR法则比起传统的面试手法来说,可以更精确地预测面试者未来的工作表现。
代码的逻辑简单介绍:将要执行的SQL以名称进行区分保存并放到目录:SQLfileDir,设置结果存放路径:./…/outputdir/。python先查询数据,然后以SQL文件名前缀为excle名称保存,最后移动到指定目录。 本地调试界面: # -*- coding: utf-8 -*- # @Author : zjh ...
The ODEX 开放域编程基准 (Open-Domain Coding Benchmark) 上文评估要么侧重于封闭域 (例如内置 Python 函数,如 MBPP 和 HumanEval基准) ,要么侧重于特定域 (例如数据科学,如 DS-1000基准) 。为了更广泛评估模型在 Python 库上生成代码的能力,StarCoder 团队使用 ODEX 基准进一步进行测试,测试集包含 505 个开放...