[–] deeplstm 3y ago ↗ Blog: https://crfm.stanford.edu/2023/03/13/alpaca.htmlDemo: https://alpaca-ai0.ngrok.io/Video summary: https://youtu.be/6qdzsDSduwwText summaryAlpaca is a solution to NLP centralization proposed by Stanford researchersAlpaca learns from GPT-3.5/ChatGPT to generate data for trainingBase model: Llama (7 billion parameters)Training cost: 3 hours on an A100 GPU*8 (< $100) Can be used with various models (sequence-to-sequence)Usage: Primarily for academic research, commercial use prohibitedFuture directions: Scaling models, properties of base models and instruction data, alternatives to supervised training on ChatGPT data
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[ 3.0 ms ] story [ 10.1 ms ] threadDemo: https://alpaca-ai0.ngrok.io/
Video summary: https://youtu.be/6qdzsDSduww
Text summary
Alpaca is a solution to NLP centralization proposed by Stanford researchers
Alpaca learns from GPT-3.5/ChatGPT to generate data for training
Base model: Llama (7 billion parameters)
Training cost: 3 hours on an A100 GPU*8 (< $100) Can be used with various models (sequence-to-sequence)
Usage: Primarily for academic research, commercial use prohibited
Future directions: Scaling models, properties of base models and instruction data, alternatives to supervised training on ChatGPT data