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Building Task-Specific Language Models

This chapter focuses on the launch of efficient task-specific language models designed for AI developers, discussing their architecture, functionalities, and cost-effectiveness. It explores real-time applications like profanity filtering during live shows and critiques the over-engineering of AI solutions in financial institutions. Additionally, the chapter highlights the practical use of lower-end GPUs in training generative models and anticipates a shift in language model utilization in the enterprise landscape.

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