Worked on improving documentation accuracy for data type semantics in the Intel-tensorflow/xla and ROCm/tensorflow-upstream repositories. Focused on correcting dtype references in shapes documentation, specifically updating incorrect mentions of 'bf316' to the correct 'bf16' to reflect the actual data types used by XLA operations. This targeted technical writing effort, implemented using Markdown, reduced confusion for developers integrating bf16 workloads and improved onboarding for users relying on precise HLO dtype information. Demonstrated cross-repository collaboration by aligning documentation changes and maintaining traceability through explicit commits and linked pull requests, ensuring consistency and clarity across both codebases.