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Home > Data > Artificial Intelligence > Harnessing Open Source LLMs and ChatGPT with Minimal Code
Harnessing Open Source LLMs and ChatGPT with Minimal Code
Harnessing Open Source LLMs and ChatGPT with Minimal Code

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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Profile Icon Dan We
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€59.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (5 Ratings)
Video Jul 2024 1hr 59mins 1st Edition
Video
€59.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Dan We
Arrow right icon
€59.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (5 Ratings)
Video Jul 2024 1hr 59mins 1st Edition
Video
€59.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€59.99
Subscription
Free Trial
Renews at €18.99p/m

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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

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 24, 2024
Length: 1hr 59mins
Edition : 1st
Language : English
ISBN-13 : 9781836642534
Category :
Data
Languages :
Python
Concepts :
Artificial Intelligence
Tools :
ChatGPT

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Jul 24, 2024
Length: 1hr 59mins
Edition : 1st
Language : English
ISBN-13 : 9781836642534
Category :
Data
Languages :
Python
Concepts :
Artificial Intelligence
Tools :
ChatGPT

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Harnessing Open Source LLMs and ChatGPT with Minimal Code
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Table of Contents

2 Chapters
Setting Up and Exploring Local LLMs Chevron down icon Chevron up icon
Download the required Software for the course
No code chat with open-source models locally for free
Running open-source models without code locally in the command line
Openai API preparations
Download python and set env variable in your code editor
Exploring the local Server API endpoint of our open-source model
A different way to use local server API endpoint for open source LLMs with Python
Advanced Usage and API Integrations Chevron down icon Chevron up icon
Open Source LLM streaming responses locally with Python API calls
Exploring the official openai API endpoint using Python
Streaming openai chatgpt responses with Python low code
Introduction to function calling with ChatGPT models in Python
Open source llama3 model with web interface in Python
Running No code open source LLMs locally

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Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(5 Ratings)
5 star 60%
4 star 20%
3 star 20%
2 star 0%
1 star 0%
Gianni Aug 03, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A really good course to be able to work quickly with llms. I'd like to see an example with vector stores.
Subscriber review Packt
Olawole Sep 10, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Subscriber review Packt
Raghuvardhan Rao Nov 12, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Good for understanding basics of LLM. Easy to follow
Subscriber review Packt
Hugo Aug 10, 2024
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Nice introductory course into LLMs. A bit short but usefull
Subscriber review Packt
Mark Aug 06, 2024
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
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.
Subscriber review Packt

About the author

Profile icon Dan We
Dan We
Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1–L3). He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors. He possesses a fervent dedication to both learning and teaching. His unwavering commitment extends to providing educational services and assisting individuals in achieving their objectives, mastering their fields, and embarking on new career journeys.
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