Capabilities of LLMs 🤯
Practical AI
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Navigating the Landscape of Large Language Models
This chapter examines the rapid evolution and integration of large language models (LLMs) into various applications, contrasting proprietary and open-source models like AutoGPT and HuggingGPT. The discussion highlights the challenges organizations face when implementing these technologies, including ethical considerations, model limitations, and the balance of educational equity. Additionally, it stresses the importance of community support through platforms like Hugging Face and the need for hands-on experience in understanding AI tools.
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