Worked on improving the aws-neuron/aws-neuron-sdk repository by addressing documentation accuracy related to supported model types. Focused on refining RST-based documentation to correct model class names, specifically removing references to Mixtral-specific classes and ensuring alignment with Llama-based models actually supported by the SDK. This targeted fix reduced ambiguity for developers, making it easier to understand which models are available and supported. The work leveraged skills in documentation management and technical writing, emphasizing clarity and maintainability. By ensuring the documentation accurately reflected the SDK’s capabilities, the update helped streamline developer onboarding and reduced the likelihood of support questions related to model compatibility.