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Navigating Challenges in Implementing Large Language Models
Exploring the complexities of building and deploying large language models (LLMs) for real-world applications, addressing stages from pre-training to fine-tuning for specific tasks like HR chatbots. The chapter emphasizes overcoming challenges in meaning representation, data science, engineering large models, and aligning model output with desired outcomes.