Open Source LLMs with ChatGPT Online Course
Open Source LLMs with ChatGPT Online Course
The Open Source LLMs with ChatGPT Online Course focuses on discovering how to harness the potential of Large Language Models (LLMs) through this comprehensive online course. The course has been designed to make LLMs accessible, the course walks you through running models locally, implementing low-code solutions, and leveraging advanced Python techniques to build functional, real-world applications.
Knowledge Gained
The Open Source LLMs with ChatGPT Online Course helps you learn to operate open-source LLMs like Google’s Gemma:7b and Llama3 without relying on an internet connection. This course introduces both no-code tools for beginners and advanced techniques for those with Python experience, enabling you to confidently interact with these cutting-edge technologies. From setting up your environment to developing API endpoints, you’ll explore -
- No-code workflows for running LLMs locally.
- Low-code solutions to stream ChatGPT responses and integrate Python APIs.
- Practical applications of Llama3 for web-based interfaces.
- By the end of this course, you’ll be equipped with the knowledge and skills to run, customize, and apply LLMs for personal, professional, or creative use.
Who should take the course?
This course is ideal for:
- AI Enthusiasts: Individuals interested in operating LLMs locally without cloud dependencies.
- Beginners: Anyone new to LLMs who wants to start with simple, no-code solutions.
- Developers: Python programmers looking to integrate and extend LLM functionality.
- Cost-Conscious Learners: Those seeking powerful AI tools at no additional expense.
Skills Acquired
- Run LLMs Locally: Set up and operate open-source LLMs on your system.
- Build APIs: Use low-code Python solutions to create and interact with API endpoints.
- Stream Responses: Implement batch and streaming modes for ChatGPT and other LLMs.
- Explore Function Calling: Leverage ChatGPT's advanced function-calling capabilities.
- Integrate Llama3: Use Python to build interactive web interfaces for Llama3 models.
- Develop Frontends: Create simple web applications using tools like Streamlit.
- Experiment with Open Source: Dive into a variety of open-source LLMs to understand their features and applications.
Course Outline
The Open Source LLMs with ChatGPT Online Course covers the following topics -
Domain 1 - Setting Up and Exploring Local LLMs (Free Preview Chapter)
- Download and configure the necessary tools to run LLMs locally.
- Operate open-source models without coding via the command line.
- Explore local API endpoints and connect them with Python.
Domain 2 - Advanced Usage and API Integrations
- Stream responses from open-source models using Python scripts.
- Integrate with the OpenAI API for enhanced capabilities.
- Learn to handle ChatGPT’s function-calling features.
- Develop web-based applications to interact with Llama3 models.
- Use Streamlit to build intuitive frontends for your APIs.
Key Benefits
- Cost-Effective: Use free open-source LLMs, avoiding the expenses of cloud-based AI.
- Full Control: Run LLMs locally, ensuring data privacy and security.
- Accessible Learning: Suitable for beginners with no coding experience and developers seeking advanced techniques.
- Hands-On Projects: Gain practical skills with step-by-step demonstrations and real-world use cases.
- Comprehensive Coverage: Learn everything from no-code setups to advanced Python integrations.
- Future-Proof Skills: Stay ahead in the AI domain by mastering open-source LLMs.
