Harnessing Open Source LLMs and ChatGPT with Minimal Code: Explore Large Language Models with Open Source Innovations like LLama3 and ChatGPT

Dan We

₱579.99 ~~₱4082.99~~

4.4 (5 Ratings)

Video Jul 2024 1hr 59mins 1st Edition

Dan We

₱579.99 ~~₱4082.99~~

4.4 (5 Ratings)

Video Jul 2024 1hr 59mins 1st Edition

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Key benefits

No-code solutions for running open-source models
Advanced Python techniques for streaming responses and function calling
Insights into using llama3 model with a web interface

Description

Welcome to the captivating world of Large Language Models (LLMs)! This course is designed to guide you through the fascinating landscape of LLMs, encompassing both no-code and low-code solutions powered by Python. We begin by equipping you with the necessary software to operate these models locally, enabling you to explore various open-source models, including Google’s Gemma:7b and Llama3, without the need for an internet connection. In the advanced section, you will delve into using Python for streaming responses from open-source LLMs and integrating with the official OpenAI API. The course covers low code solutions for streaming ChatGPT responses and introduces function calling within ChatGPT models. You'll also learn about the llama3 model and how to interface it with Python for web applications. Throughout the course, you'll gain experience fetching responses in both batch and streaming modes, and we will jointly develop a small web frontend using Streamlit for our streaming LLM API. By the end of the course, you'll be equipped to run open-source LLMs locally and leverage their capabilities to the fullest.

Who is this book for?

This course is ideal for individuals interested in running open-source LLMs locally and privately, as well as those looking to utilize these models completely free of charge. It's perfect for beginners eager to start with low-code API endpoints using minimal Python and anyone interested in operating no-code LLMs locally. Python knowledge is beneficial for the low-code sections but not mandatory. To follow along with the OpenAI ChatGPT portion, a sign-up and a $5 credit payment (credit card) are required. All other open-source models and software are entirely free.

What you will learn

Configure and run local LLMs
Use local server API endpoints for open-source models
Integrate and utilize OpenAI API with Python
Implement low-code solutions for streaming ChatGPT responses
Operate the llama3 model using Python web interfaces
Develop a small web frontend for streaming LLM APIs using Streamlit
Experiment with various open-source models, understanding their capabilities and limitations

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Gianni Aug 03, 2024

A really good course to be able to work quickly with llms. I'd like to see an example with vector stores.

Subscriber review

Olawole Sep 10, 2024

Raghuvardhan Rao Nov 12, 2024

Good for understanding basics of LLM. Easy to follow

Hugo Aug 10, 2024

Nice introductory course into LLMs. A bit short but usefull

Mark Aug 06, 2024

Brilliant course, BUT - i'm running an i9 mac, LM Studio will not run and work, so it's very difficult to follow the code snippets, i'm having to pause the video write things down, then type them in :( - Not everyon has the latest MAC M series chips.

Harnessing Open Source LLMs and ChatGPT with Minimal Code: Explore Large Language Models with Open Source Innovations like LLama3 and ChatGPT

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Harnessing Open Source LLMs and ChatGPT with Minimal Code: Explore Large Language Models with Open Source Innovations like LLama3 and ChatGPT

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