Answer / Rajat Kumar Srivastav

Simplifying the development and deployment of Language Models (LLM) can be achieved through various strategies. One approach is to use pre-trained models, which are already trained on large datasets and require less data for fine-tuning. Another strategy is modularizing the model, breaking it down into smaller components that can be independently developed and tested. Lastly, using cloud platforms with pre-built tools for ML development and deployment can significantly reduce the complexity and time required.

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