In this video, we delve into language models and evaluate the performance of three popular models: Facebook's LLaMA, Open AI's ChatGPT, and Stanford's Alpaca. We compare their outputs using the evaluation metric "Perplexity" and analyze the results using GPTZero, which calculates perplexity scores for AI-generated content. We explore the strengths and weaknesses of each model and discuss the implications of our findings for the future of language modeling. Whether you're a language model enthusiast or just curious about the technology behind AI-generated content, this video will surely be an informative and engaging watch.

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