Worked on enhancing the aws-neuron/aws-neuron-sdk repository by updating the training model catalog to include the latest Llama 3.1 and Llama 3 models. Focused on improving documentation using RST, the work introduced new references for neuronx-distributed and nxd-training configurations, supporting scalable distributed training workflows. Integrated relevant tutorials and sample documentation to streamline onboarding and model adoption for users of the AWS Neuron SDK. The updates ensured that the documentation remained aligned with recent product changes, reinforced model discoverability, and provided clear guidance for leveraging distributed training capabilities within the AWS Neuron ecosystem, emphasizing clarity and technical accuracy throughout.