下面我们通过 LangChain自定义LLM 实现文心一言 ERNIE-Bot-turbo 大模型接入: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importjsonimport timefrom typingimportAny,List,Mapping,Optional,Dict,Union,Tupleimport loggingimport requestsfrom langchain.callbacks.managerimportCallbackManagerForLLMRunfrom langcha...
环境:本机安装的ollama, 使用 ollama run gemma:2b启动了gemma:2b的服务。 跑在了MX250显卡上,速度还可以。 Post:例代码: import requests import json def send_message_to_ollama(message, port=11434): url…
(2.1.1) Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/conda/envs/python35-paddle120-env/lib/python3.9/site-packages (from aiohttp->datasets>=2.0.0->paddlenlp==2.5.2.post0) (4.0.2) Requirement already satisfied: yarl<2.0,>=1.0 in /opt/conda/envs/python35-...
I got similar errors while trying to integrate prompt flow and langchain for a project. Precisely, I got AttributeErrors for these attributes:langchain.verbose,langchain.debug, andlangchain.llm_cache In my case, this seems be solveable by extending the exception handling for setting the globals...
Timeout Error OpenAI#3512 Closed shreyabhadwalopened this issueApr 25, 2023· 33 comments timothyaspmentioned this issueMay 1, 2023 Increaserequest_timeouton ChatOpenAI#3910 Merged hwchase17pushed a commit that referenced this issueMay 1, 2023 ...
test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] [...
test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] [...
Prompt engineering refers to the process of creating instructions called prompts for Large Language Models (LLMs), such as OpenAI’s ChatGPT. With the immense potential of LLMs to solve a wide range of tasks, leveraging prompt engineering can empower us to save signif...
Langchain对于prompt的优化:主要是致力于将其优化成为可移植性高的Prompt,以便更好的支持各类LLM,无需在切换Model时修改Prompt。 通过官方文档可以看到,Prompt在Langchain被分成了两大类,一类是Prompt template,另一类则是Selectors。 Propmpt template:这个其实很好理解就是利用Langchain接口将prompt按照template进行一定格...
TimeUnit.SECONDS.sleep(60); String userQuery = "What is your favourite sport?"; Embedding queryEmbedding = embeddingModel.embed(userQuery).content(); int maxResults = 1; List<EmbeddingMatch<TextSegment>> relevant = embeddingStore.findRelevant(queryEmbedding, maxResults); ...