Is it just me or does Ryan look different?




Full Tutorial Instructions Here: https://bit.ly/gpt-on-rpi

Order the NEW Tinker Project Ultimate Dev Kit Here 👉 https://tinkerprojects.dev

In this tutorial, I guide you through setting up ChatGPT on a Raspberry Pi, allowing you to chat seamlessly with advanced AI models. Perfect for AI enthusiasts, Raspberry Pi users, and DIY tech lovers!

🔗 Links:

Step-by-Step Tutorial: https://bit.ly/gpt-on-rpi
GitHub Source Code for alpaca.cpp: https://github.com/antimatter15/alpac...
Download Model Weights from HuggingFace: https://huggingface.co/Sosaka/Alpaca-...
Instructions:

Choose your OS-specific zip from alpaca.cpp releases (including alpaca-win, alpaca-mac, alpaca-linux).
Pair downloaded model weights with the 'chat' executable.
Launch & initiate an interactive chat with AI on Mac/Linux using ./chat or on Windows via .\Release\chat.exe.
Build from Source: For hardcore DIY fans, we've got detailed build-from-source instructions.

🔥 Highlight: Meta's LLaMA - Pioneering the Future of NLP
Discover Meta's groundbreaking Large Language Model, LLaMA. It's a revolutionary step towards democratizing AI and making top-notch NLP accessible to all, even those with constrained resources.

LLaMA Features:

Ranges from 7B to an impressive 65B parameters.
Rigorous training with up to a staggering 1.4 trillion tokens.
Designed with versatility to combat biases and toxicities.
At the core of our mission? Combining cutting-edge research with responsibility. We're dedicated to minimizing biases in AI. By offering conditional access to LLaMA, we prioritize ethical AI use and champion significant AI breakthroughs.

Apply for LLaMA Access: Dive deep into our research paper for more insights.

Join us in shaping a collective AI future, pooling knowledge from academia, the tech industry, and policy-makers. Can't wait to see the innovations you'll spark with LLaMA!