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August 29, 2024 6 mins
In this episode, we discuss how Large Language Models (LLMs) like OpenAI's ChatGPT, Facebook's LLaMA, and Google's Gemini are trained using vast datasets and tokenization to understand and generate text. These models can be adapted for specific business needs through additional training with tailored documents, accessed via APIs or by downloading and running the models locally. While LLMs are powerful for various tasks, they require careful consideration of costs, hardware, and accuracy in training data to ensure they meet your specific requirements.
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