def main(): urls = ['http://example.com', 'http://example.org', 'http://example.net'] pages = [fetch(url) for url in urls]for page in pages:print(len(page)) 示例:打印每个页面的长度 main() 异步版本:能够同时发起多个网络请求而不阻塞主线程。这意味着在等待一个请求的响应时,程序可以...
代码开源地址为:GitHub - OpenRL-Lab/ChatAgent: A Python-based agent framework for large language models. 框架特点 支持多模态大语言模型 支持OpenAI API 支持阿里云千问、智谱GLM、微软Azure等API调用 支持不同智能体并行与串行调用 支持添加api_key实现访问控制 支持设置最大并发数,即模型同时处理请求最大数量...
With the rise of ChatGPT and Large Language Models (LLMs) as a code helping tool, it was thus just an assumption that the most popular languages like Python would likely be the best for LLMs. But because of the increased productivity, ...
An example of a chain is LLMChain, which combines PromptTemplate with LLM. 6. Indexes— The Indexes module constructs structures for documents so that the large language model can interact more effectively. 7. Agents— The Agents module makes it easier to specify tasks or jobs you want to ...
The sanitized chat conversation files are also included in the example codebase:Get Sample Code: Click here to download the sample code that you’ll use to get the most out of large language models through prompt engineering.Again, you want the model to do the work for you. All you need...
502-Build large language model (LLM) apps with Python, ChatGPT and other LLMs-Ben Auffarth- LLM-2023Barack2024/01/14《Build large language model (LLM) apps with Python, ChatGPT and other LLMs》,首版于2023年。本书讨论了 LLM(包括 ChatGPT 和 Bard)的运作、功能和局限性。 它还演示了如何使...
Learn LangChain from my YouTube channel (~7 hours of LLM hands-on building tutorials); Each lesson is accompanied by the corresponding code in this repo and is designed to be self-contained -- while still focused on some key concepts in LLM (large language model) development and tooling. ...
# Show an example print(dataset[randrange(len(dataset))])创建提示 为了执行指令微调,我们必须将每个数据示例转换为指令,并将其主要部分概述如下: def format_instruction(sample): return f"""### Instruction: Use the Task below and the Input given to write the Response, which is a programming code...
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance. LightLLM harnesses the strengths of numerous well-regarded open-source implementations, including but not limited to FasterTransformer...
This example is an HTTP triggered function that streams HTTP response data. You might use these capabilities to support scenarios like sending event data through a pipeline for real time visualization or detecting anomalies in large sets of data and providing instant notifications. Python Copy import...