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www.datadoghq.com | ||
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bair.berkeley.edu
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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. | |
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blog.adnansiddiqi.me
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| | | | | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development. | |
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lmsys.org
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| | | | | We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation ... | |
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somosviajeros.com
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| | | Guía de Taiwan con mis post de este viaje a una isla en medio de un conflicto geopolítico con China y con gente maravillosa | ||
