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Run Large Language Models (LLMS) Locally with Ollama

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Peng Xiao

42:35

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  • 1. What is Ollama.mp4
    01:46
  • 1. System Requirements.mp4
    02:13
  • 2. Install Ollama locally on Mac.mp4
    05:26
  • 3. Install Ollama locally on Windows.mp4
    04:16
  • 4. Install Ollama locally on Linux.mp4
    04:15
  • 5. Ollama Command Line Interface.mp4
    07:23
  • 6. Create our own model.mp4
    06:12
  • 1.1 openai translator.html
  • 1. Install OpenAI-Translator.mp4
    03:48
  • 2. Translation Test with local model.mp4
    04:17
  • 1.1 chatbox.html
  • 1. Test Chatbox with local model.mp4
    02:59
  • Description


    to replace ChatGPT and GitHub Copilot locally for free

    What You'll Learn?


    • What is Ollama?
    • How to install Ollama locally
    • How to use Ollama in Command line interface
    • How to use Ollama in other applications

    Who is this for?


  • anyone who want to have something like ChatGPT but running locally
  • What You Need to Know?


  • one powerful PC
  • More details


    Description

    Course Description: Are you fascinated by the capabilities of large language models like GPT and BERT but frustrated by the limitations of running them solely in the cloud? Welcome to "Run Large Language Models Locally with Ollama"! This comprehensive course is designed to empower you to harness the power of cutting-edge language models right from the comfort of your own machine.

    In this course, you'll dive deep into the world of large language models (LLMs) and learn how to set up and utilize Ollama, an innovative tool designed to run LLMs locally. Whether you're a researcher, developer, or enthusiast, this course will equip you with the knowledge and skills to leverage state-of-the-art language models for a wide range of applications, from natural language understanding to text generation.

    What You'll Learn:

    • Understand the fundamentals of large language models and their significance in NLP.

    • Explore the challenges and benefits of running LLMs locally versus in the cloud.

    • Learn how to install and configure Ollama on your local machine.

    • Discover techniques for optimizing model performance and efficiency.

    • Explore real-world use cases and applications for locally-run LLMs, including text generation, sentiment analysis, and more.

    Who Is This Course For:

    • Data scientists and machine learning engineers interested in leveraging LLMs for NLP tasks.

    • Developers seeking to integrate cutting-edge language models into their applications.

    • Researchers exploring advanced techniques in natural language processing.

    • Enthusiasts eager to dive deep into the world of large language models and their applications.

    Prerequisites:

    • No requirements, only need one powerful PC

    Why Learn with Us:

    • Comprehensive and hands-on curriculum designed by experts in the field.

    • Practical exercises and real-world examples to reinforce learning.

    • Access to a supportive online community of peers and instructors.

    • Lifetime access to course materials and updates.

    Don't miss this opportunity to unlock the full potential of large language models and take your NLP skills to the next level. Enroll now and start running LLMs locally with confidence!

    Who this course is for:

    • anyone who want to have something like ChatGPT but running locally

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    Peng Xiao is a Network and Software DevOps Engineer.He has more than 12 years experiences in IT/Network industry, worked for Cisco Systems, Nerdalize, KPN, ING in the past  12 years.Peng is good at Python programming(more than 12 years experiences), Network technologies especially L3 routing protocols, distributed systems, database, etc. He also like open sourced technologies, and as a GitHub user  he joined some open sourced groups and made some contribution to them.He is a scrum master and have a Cisco Service Provider CCIE certification.He is working and living in the Netherlands now.肖鹏,中文网名“麦兜搞IT”, 目前生活工作在荷兰, 是一名DevOps工程师。在IT相关领域有着超过10年的工作经验,先后在思科,Nerdalize,KPN,ING等公司工作过。从2016年开始在Udemy进行在线教学,累计学生已经超过4万人。
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 10
    • duration 42:35
    • Release Date 2024/06/25