from openai import OpenAI client = OpenAI( api_key="your api key", base_url="https://open.bigmodel.cn/api/paas/v4/" ) 打开PyCharm编辑器新建demo04.py: 1.3对话代码示例 然后使用GLM-4的对话调用示例: from openai import OpenAI client = OpenAI( api_key="your zhipuai api key", base_url=...
# pku.txt内容:<https://www.pku.edu.cn/about.html> with open('./pku.txt') as f: state_of_the_union = f.read() text_splitter = CharacterTextSplitter(chunk_size=100, chunk_overlap=0) texts = text_splitter.split_text(state_of_the_union) embeddings = OpenAIEmbeddings() docsearch = C...
and contributing to open-source projects.\n\nSkills & Experience:\nBachelor\u2019s degree in Computer Science or a related field, or equivalent work experience.\n10+ years of software development experience, with a focus on large-scale, mission-critical applications.\nExpertise in multiple program...
Returns:str: 英文提示词"""llm = OpenAI(temperature=0, max_tokens=2048)res = llm(f"""Stable Diffusion is an AI art generation model similar to DALLE-2.Below is a list of prompts that can be used to generate images with Stable Diffusion: - portait of a homer simpson archer shooting ar...
Model IO:AI应用的核心部分,其中包括输入、Model和输出。 Retrieval:“检索“——该功能与向量数据密切库相关,是在向量数据库中搜索与问题相关的文档内容。 Memory:为对话形式的模型存储历史对话记录,在长对话过程中随时将这些历史对话记录重新加载,以保证对话的准确度。
with open(code_file, 'w') as f: f.write(code) 设置LLM 现在,我们将指定将在此项目中使用的 LLM。此处使用哪种模型取决于任务和资源的可用性。您可以使用专有的、强大的模型,例如 GPT-4、Gemini Ultra 或 GPT-3.5。此外,您还可以使用 Mixtral 和 Llama-2 等开放获取模型。在这种情况下,由于涉及编写代...
If you're a student, you can also get free credits with Azure for Students. Azure subscription with access enabled for the Azure OpenAI service. You can request access with this form. Azure account permissions: Your Azure account must have Microsoft.Authorization/roleAssignments/write permissions...
原文:Generative AI with LangChain 译者:飞龙 协议:CC BY-NC-SA 4.0 一、生成模型是什么? 人工智能(AI)取得了重大进展,影响着企业、社会和个人。在过去的十年左右,深度学习已经发展到可以处理和生成文本、图像、视频等非结构化数据。这些基于深度学习的先进 A
name) with open (file_name, 'wb') as f: f.write(bytes_data) loader = TextLoader(file_name) documents = loader.load() 完整源码 代码语言:javascript 复制 import os from apikey import apikey import streamlit as st # 用于创建我们的用户界面前端 from langchain.chat_models import ChatOpenAI #...
def load_qa_data(filepath):qa_data = {}with open(filepath, 'r', encoding='utf-8') as file:lines = file.readlines()current_question = Noneanswer_lines = [] # 用于累积多行答案的列表for line in lines:if line.startswith('问题: '):if current_question:# 将之前问题的答案存储到字典中...