Game Changing AI from Stanford - Alpaca

Discover the Stanford Alpaca model, a revolutionary AI that's redefining the world of instruction-following language models. In this video, we discuss what is so game-changing about Alpaca, a fine-tuned version of Meta's LLaMA 7B model, which demonstrates impressive performance while being surprisingly small and cost-effective. We discuss Stanford trained Alpaca on 52K instruction-following demonstrations and evaluated its capabilities through human evaluation by our student authors. Stanford demonstrates results of head-to-head comparison between Alpaca and OpenAI's text-davinci-003, where both models showcased similar performance across diverse user-oriented instructions like email writing, social media, and productivity tools. Stanford's blog post announcing the Alpaca LLM: https://crfm.stanford.edu/2023/03/13/alpaca.html Stanford's Code repository for Alpaca: https://github.com/tatsu-lab/stanford_alpaca Train Alpaca with Lora on a 3090 or 4090: https://github.com/tloen/alpaca-lora Alpaca-7b demo: https://huggingface.co/spaces/tloen/alpaca-lora If the demo doesn't work for you, you can try to install it on your desktop: https://github.com/antimatter15/alpaca.cpp If you wish to fine-tune your own Alpaca 7b or 13b, I suggest using my cleaned dataset rather than the original alpaca dataset: https://github.com/gururise/AlpacaDataCleaned #openai #gpt3 #alpaca #llama