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LLaMA & Alpaca: Install 'ChatGPT' Locally. 🤯 Better than ChatGPT? (Tutorial)
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LLaMA & Alpaca: Install 'ChatGPT' Locally. 🤯 Better than ChatGPT? (Tutorial)

Introduction to Alpaca AI Model

In this video, Matt Berman introduces the new AI model called Alpaca, which is based on Meta's Llama 7B model. He explains that it is nearly as good as GPT-3 and costs only $600 to train. He also shows how to install Llama and Alpaca on your own computer in less than five minutes.

Installing Llama and Alpaca

  • To install Llama and Alpaca, you need Node running on your computer.
  • Install Dolly by running the command npm install Dolly.
  • Use Dolly to install the two models - Alpaca and Llama - by running the command npx Dolly Lama install 7B for Llama and npx Dali alpaca install 7B for Alpaca.
  • Run the server by using the command npx Dolly serve.

Using Alpaca

  • You can use Alpaca by giving it a prompt example from the GitHub repo such as "How is llama related to alpaca?".
  • At the top of the page, there are different settings such as n predict which determines how many tokens it will respond with.

Conclusion

Alpaca is a lightweight AI model that performs well despite its low cost. It can be easily installed on your own computer using Node and Dolly.

OpenAI's GPT-3 Settings

In this section, the speaker explains the different settings for OpenAI's GPT-3 model.

Different Settings

  • The prompt is explained on Cocktail Peanuts repo.
  • The model setting determines which model to use.
  • If you want to connect to a remote Dolly server, you can use a URL.
  • Threads determine the number of threads your computer will use.
  • Predict is an important setting that controls the length of the response.
  • Seed temperature controls how unique or adventurous a response will be. A lower temperature results in similar responses while higher temperatures result in more unique and adventurous responses.
  • Skip end tells you whether it's the end of the response or not.

AI Training Costs are Declining

In this section, the speaker talks about how AI training costs are declining.

AI Training Costs

  • Will Summerlin from Arc Invest tweeted that AI training costs are declining at 60% year over year.
  • It cost $5 million for GPT 3 in 2022 but by 2023 it'll cost $500 to train the model at the same performance level.
  • A new model has similar performance to Da Vinci 3 and only costs $600 or less to train.
  • You can install it on any computer without needing high-end graphics cards.

Exciting Future Developments

In this section, the speaker talks about exciting future developments with OpenAI's GPT models.

Future Developments

  • The speaker is excited to see what's coming next with OpenAI's GPT models.
  • They are especially excited to install more models on their local machine and compare them to Chachi PT to see which one does better at different tasks.

Conclusion

In this section, the speaker concludes the video.

Conclusion

  • If you want to see more tools and tutorials like this, subscribe to the speaker's sub stack.
  • Please consider giving a like and subscribing.
Channel: Matthew Berman
Video description

In this video, I walk you through installing the newly released LLaMA & Alpaca large language models on your local computer. These lightweight models come from Stanford and Meta (Facebook) and have similar performance to OpenAI's davinci model. Once you install these models on your computer, you can run them without internet access! Take "ChatGPT" with you anywhere. Test all three different models, LLamA 7b, 13B, and Alpaca 7B. Update: I created a video companion post, which answers common questions and provides some updates. Check it out: https://matthewberman.substack.com/p/install-alpaca-llama-locally-video Enjoy :) Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai/ My Links 🔗 👉🏻 Subscribe: https://www.youtube.com/@matthew_berman 👉🏻 Twitter: https://twitter.com/matthewberman 👉🏻 Discord: https://discord.gg/xxysSXBxFW 👉🏻 Patreon: https://patreon.com/MatthewBerman Media/Sponsorship Inquiries 📈 https://bit.ly/44TC45V Links: Self instruct research paper - https://arxiv.org/pdf/2212.10560.pdf Alpaca announcement - https://crfm.stanford.edu/2023/03/13/alpaca.html Dalai GitHub repo - https://github.com/cocktailpeanut/dalai Dalai discord - https://discord.gg/XahBUrbVwz Tweet mentioned in video - https://twitter.com/summerlinARK/status/1599196885675544576 Node download link - https://nodejs.org/en/download Weird character issue? Try this: https://github.com/cocktailpeanut/dalai/issues/65 Contents of this video ——————— 0:00 - Intro 0:30 - Quick Demo 0:45 - Capabilities 2:00 - Installation 3:55 - Demo 5:00 - Settings 5:44 - Rate of Progress 6:27 - Outro My Workstation Setup: Apple MacBook Air M2 - https://amzn.to/3GQFexg LG Ultrawide 5k Monitor - https://amzn.to/3XsnBuC Logitech Litro Glow - https://amzn.to/3HkP1wX Vivo Monitor Stand - https://amzn.to/3Xv0TlU Logitech MX Master S2 - https://amzn.to/3kyghiH Logitech Craft Wireless Keyboard - https://amzn.to/3QSsHhx Logitech HD Video Camera - https://amzn.to/3XMFFQc Blue Yeti Microphone - https://amzn.to/3XICOaP Uplift Standing Desk - https://amzn.to/3XMFYKQ Apple AirPods Max Headphones - https://amzn.to/3XOwYF1 Large Black Desk Pad - https://amzn.to/3YdNChz