幸运的是,Python构建的AI Chatbot框架为我们提供了一个便捷的途径,使得创建和训练聊天机器人变得轻松可行。 一、环境配置 首先,确保已经安装了Python以及相关的依赖库。推荐使用Python 3.6及以上版本,因为新版本的Python提供了更好的性能和更多的功能。接下来,需要安装ChatterBot库及其依赖,可以使用pip命令进行安装。Chatter...
本文将详细介绍如何使用Python构建AI Chatbot框架,并轻松创建和训练智能对话机器人。 一、环境配置 在开始构建AI Chatbot框架之前,首先需要确保已经安装了Python及其相关的依赖库。Python是一种广泛使用的高级编程语言,其简洁的语法和强大的功能使其成为构建聊天机器人的理想选择。推荐使用Python 3.6及以上版本,以确保兼容性...
TF=(Numberoftimes term t appearsina document)/(Numberoftermsinthe document) Inverse Document Frequency:是对文档中单词的罕见程度的评分。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 IDF=1+log(N/n),where,Nis the numberofdocuments and n is the numberofdocuments a term t has appearedin....
openai: A Python client for OpenAI, a research company that focuses on developing and advancing artificial intelligence in a way that is safe and beneficial for humanity. OpenAI offers various AI models, including the GPT 3.5 turbo model, which is used in this tutorial to power the chatbot. ...
An AI Chatbot framework built in Python Building a chatbot can sound daunting, but it’s totally doable. AI Chatbot Framework is an AI powered conversational dialog interface built in Python. With this tool, it’s easy to create Natural Language conversational scenarios with no coding efforts wha...
RAG 技术看似神奇,但其本质是结合了检索和生成两个子任务的一种系统工程,而每个子任务又都有明确的技术原理支撑。作为 AI 开发者,理解这一工作流程尤为重要。相信本文有助于读者进一步掌握 RAG 的技术原理,从而更好地运用 Chatbots 为用户创造更多价值。
本示例采用PremAI，请自行去它的官网（https://app.premai.io）申请API KEY。PremAI 有 chat model ...
This technology has been developed after many years of experimentation, to find the easiest and most efficient way to configure an NLU AI. Golem is written in Python and works on Linux, Windows, and macOS. Golem is licensed under GPL-3.0 License. How to Choose the Best Open-Source Chatbot...
An AI Chatbot framework built in Python Building a chatbot can sound daunting, but it’s totally doable. IKY is an AI powered conversational dialog interface built in Python. With IKY it’s easy to create Natural Language conversational scenarios with no coding efforts whatsoever. The smooth UI...
Similar to AI Integration's post, I'd love to incorporate the AI Assistant more directly into my workflow.Currently it refactors code for me based on command.However, with a small tweak, we could connect it directly to the Python libs and refine its NLP processing such that, using NLP ...