Packt
Harnessing Open Source LLMs and ChatGPT with Minimal Code
Packt

Harnessing Open Source LLMs and ChatGPT with Minimal Code

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify and download necessary software for setting up local LLMs.

  • Explain how to interact with open-source models locally without coding.

  • Implement OpenAI API configurations and use Python for streaming responses.

  • Compare different methods for using local server API endpoints with Python.

Details to know

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Recently updated!

October 2024

Assessments

1 assignment

Taught in English

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There are 2 modules in this course

In this module, we will cover the foundational steps to set up and work with local Large Language Models (LLMs). You’ll start by installing essential software, learning to use open-source models without coding, and setting up your development environment. By the end of this section, you’ll be able to run and explore local models using various tools and interfaces.

What's included

7 videos1 reading

In this module, we will dive into advanced integrations and API usage with both open-source and OpenAI LLMs. You’ll learn how to use Python for streaming responses, perform function calls, and set up web interfaces. This section will help you extend the capabilities of your language models, enabling more sophisticated and interactive applications.

What's included

6 videos1 assignment

Instructor

Packt - Course Instructors
Packt
371 Courses8,562 learners

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Packt

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