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Free Download LLMs Unlocked Open Source and ChatGPT, No Code Low Code
Published 5/2024
Created by Dan We
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 58m ) | Size: 764 MB
Discover the World of Large Language Models with Open Source Models like LLama3 and ChatGPT
What you'll learn:
How to run open source llm models completely local and private
How to run open source llm models like llama3 completely free
How to use the local api endpoints of open source llms in python
How to work with the chatgpt api endpoint in python
How streaming with open source llms and chatgpt works and how to implement it in python
How to run open source LLMs without any coding free locally and private
Requirements:
Python knowledge for the low coding part is helpful but not necessaril required
To follow along with the openai ChatGPT part there is a sign up and a $5 credit payment required (credit card)
All other open source models and software is completely free
Description:
"In today's digital age, you're likely familiar with ChatGPT - a name synonymous with powerful language models.Welcome to the captivating world of Large Language Models (LLMs)!This course takes you on an exploratory journey through the LLM landscape, no code as well as low code powered by Python. We delve into not only open-source models but also the official ChatGPT API.Utilizing free additional software, we enable the operation of these models locally without the need for an internet connection. This allows you to experiment with various models, both with and without coding (please note the hardware requirements).Discover how some open-source models, like Google's Gemma:7b or Llama3, can deliver astonishing results. We also examine the industry leader, OpenAI, and its efficient GPT models (ChatGPT), which not only promise top-notch performance but are also cost-effective (see course prerequisites for a starting credit of $5).We'll familiarize you with fetching responses in both batch and streaming modes.As a grand finale, we'll jointly develop a small web frontend (using Streamlit) for our streaming LLM API.No prior experience is required, though basic Python knowledge is helpful. This course is tailored for beginners and includes both low-code (minimal Python coding) and no-code options.Are you ready to dive into the exciting world of Artificial Intelligence and explore the capabilities of LLMs? Join us on this exhilarating journey and gain valuable insights. More details are available in the course prerequisites."
Who this course is for:
Everyone interested in running open source llms locally
Everyone interested in running open source llms private
Everyone interested in running open source llms completly free
Everyone interested in getting started with low code (a little bit of python) API endpoints of LLMs
Everyone interested in running no code LLMs locally
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