Python中的大型语言模型(LLM)简介

用LLMs开发你自己的文档阅读虚拟助手，通过我的综合课程“Python中的大型语言模型(LLM)介绍”释放大型语言模型(LLM)的潜力本课程重点关注LLM框架，如OpenAI、LangChain和LLMA索引，使你能够构建自己的文档阅读虚拟助手。无论你是LLM实施的新手还是寻求提高你的人工智能技能，这门课程都提供了一个探索人工智能前沿领域的宝贵机会。课程亮点:-基于云的Python环境:利用基于云的Python环境Saturn Cloud的能力来实现健壮的LLM实现。-实用文本分析:学习实现基本的自然语言处理(NLP)技术，包括实体识别和关键字提取，以解构文本文档-利用LLM框架:探索LLM框架的标准技术，包括LangChain、OpenAI和LLAMA-Index，用于摘要和查询。为什么报名参加本课程？通过注册本课程，您将踏上一段旅程，成为利用大型语言模型(LLM)挖掘文本数据潜力的专家。我们经验丰富的讲师拥有牛津大学的哲学硕士学位和剑桥大学的数据密集型博士学位，在他的指导下，您将获得驾驭LLM实施复杂性所需的指导。除了课程内容，您还将受益于持续的支持，确保您从投资中获得最大价值。Introduction to Large Language Models (LLMs) In Python

加入我们的学习者社区，沉浸在LLM分析中，提升您在人工智能和数据科学方面的专业知识。立即注册，利用LLMs释放文本数据的力量！

由Minerva Singh创作
MP4 |视频:h264，1280×720 |语言：英语+中英文字幕（云桥网络 机译）|课程时长:2小时45分钟|大小:2.5G

你会学到什么
学习在全新的云生态系统-土星云中使用Jupyter笔记本电脑
将多个pdf读入Python
实施常见的自然语言处理(NLP)技术，包括实体识别和关键字提取
熟悉常见的大型语言模型(LLM)框架，包括LangChain
为抽象总结和回答问题实现LLM框架

要求
有使用Jupyter笔记本的经验
预先接触自然语言处理(NLP)概念会有所帮助，但不是强制性的
对在自己的文档中使用大型语言模型(LLM)感兴趣


Develop Your Own Document-Reading Virtual Assistant With LLMs

What you’ll learn
Learn to work with Jupyter notebooks in a brand new cloud ecosystem-Saturn Cloud
Read in multiple PDFs into Python
Implement common natural language processing (NLP) techniques including entity recognition and keyword extraction
Get acquainted with common Large Language Model (LLM) frameworks including LangChain
Implement LLM frameworks for abstract summarisation and answering questions

Requirements
Prior experience of using Jupyter notebooks
Prior exposure to Natural Language Processing (NLP) concepts will be helpful but not compulsory
An interest in using Large Language Models (LLMs) for your own documents

Description
Unlock the potential of large language models (LLM) with my comprehensive course: “Introduction to Large Language Models (LLMs) In Python.” With a focus on LLM frameworks such as OpenAI, LangChain, and LLMA-Index, this course empowers you to build your own Document-Reading Virtual Assistant. Whether you’re new to LLM implementation or seeking to advance your AI skills, this course offers an invaluable opportunity to explore the cutting-edge field of AI.Course Highlights:- Cloud-Based Python Environment: Harness the power of Saturn Cloud, a cloud-based Python environment, to implement robust LLM implementations.- Practical Text Analysis: Learn to implement essential Natural Language Processing (NLP) techniques, including entity recognition and keyword extraction, to deconstruct the text documents- Leveraging LLM Frameworks: Discover standard techniques for LLM frameworks, including LangChain, OpenAI and LLAMA-Index, for abstract summarization and querying.Why Enroll in This Course?By enrolling in this course, you’re embarking on a journey to become an expert in harnessing the potential of text data with Large Language Models (LLMs). Driven by the vision of our experienced instructor, who holds an MPhil from the University of Oxford and a data-intensive PhD from Cambridge University, you’ll receive the guidance needed to navigate the complexities of LLM implementation.Beyond the course content, you’ll benefit from continuous support, ensuring you extract the maximum value from your investment. Join our community of learners, immerse yourself in LLM analysis, and advance your expertise in AI and data science.Enroll Now to Unlock the Power of Text Data With LLMs!