What framework is known for building and deploying generative AI models?

The framework known for building and deploying generative AI models is NVIDIA NeMo. This is a specialized toolkit developed by NVIDIA that facilitates the creation of conversational AI applications, including generative models for natural language processing. NeMo offers pre-trained models, model training, and fine-tuning capabilities, making it particularly suited for tasks involving deep learning in text generation and dialogue systems.

NVIDIA NeMo leverages the power of NVIDIA's hardware and software ecosystem, optimizing neural networks to run efficiently on GPUs. The focus on generative AI makes it particularly relevant for enterprises looking to develop applications in natural language generation, text-to-speech, and similar areas.

Other frameworks mentioned, while valuable for certain tasks, do not have the same dedicated focus on generative models as NVIDIA NeMo. For instance, PyTorch Lightning is primarily designed to simplify the training of PyTorch models, Triton Inference Server is focused on serving machine learning models at scale, and Microsoft Bot Framework is designed for creating chatbots and does not specialize in generative model development.