How does Stanford's Alpaca language model compare to OpenAI's GPT-3?
— Stanford's Alpaca language model is smaller and cheaper to reproduce, but still has the potential to revolutionize AI technology with its low cost and high accuracy in generating language models like GPT-3.
How did Stanford train their Alpaca language model?
— Stanford used self-instruct to train their Alpaca model, allowing it to compete with GPT 3.5 and imitate and learn from other models without the need for human labeling and ranking.
What are the strengths of Stanford's Alpaca language model?
— Alpaca excels in basic addition and subtraction, generating literary analogies, and solving Common Sense problems, although it may struggle with certain questions.
What are the concerns raised by Stanford's Alpaca language model?
— The development of Alpaca using self-instruct and open source models raises concerns about the ease of creating cheap models by bad actors, potentially enabling more people to create new models with questionable intentions.
How does Amazon's chatbot technology compare to GPT-3?
— Amazon's chatbot technology, including models like Alexa TM and Ernie bot, has shown promising performance, outperforming GPT-3 in certain aspects, but without a paper release, its claims cannot be verified.
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