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lmsys.org
| | www.aivo.co
3.4 parsecs away

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| | In the second of this series written by an expert, we take a necessary leap back in time and talk about the implications of ChatGPT. Read the article to find out more.
| | bair.berkeley.edu
1.3 parsecs away

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| | [AI summary] The article introduces Koala, a dialogue model trained by fine-tuning Meta's LLaMA on dialogue data from the web, with a focus on interactions with large closed-source models like ChatGPT. The model's performance is compared to ChatGPT and Stanford's Alpaca, showing competitive results. The paper emphasizes the importance of high-quality training data for smaller models and highlights the potential for open-source models to match the performance of closed-source ones. However, it also acknowledges the limitations and safety concerns of Koala, including potential for misinformation and biases, and emphasizes its research prototype status for academic use.
| | simonwillison.net
3.8 parsecs away

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| | A month ago I asked Could you train a ChatGPT-beating model for $85,000 and run it in a browser?. $85,000 was a hypothetical training cost for LLaMA 7B plus Stanford ...
| | www.lacuisinetresjolie.it
17.1 parsecs away

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| Un plumcake ai frutti di bosco, senza burro ma con yogurt e olio di semi, perfetto per colazione con una bella tazza di caffélatte!