Exploring Language Models in Production

The chapter delves into the challenges and strategies of writing a book focusing on LOMs in production, emphasizing practical applications over theoretical advancements. It discusses speech acts in language models, monitoring, retraining, and the introduction of LoRA for fine-tuning specific parameters efficiently. The conversation also covers the use of different datasets, advising executives on implementing large language models, and the balance between data and engineering in tasks like building bots.