Worked on the huggingface/gorilla repository to enhance documentation by adding a prominent link to the Azure RAFT Distillation Recipe in the HOWTO guides. This update improved access to essential resources such as notebooks, infrastructure code, and fine-tuning materials for newer models like Llama 3.1, Llama 3.2, and GPT-4o. The contribution focused on streamlining onboarding and cross-repository discoverability for engineers and data scientists, reducing the time required to locate and utilize model fine-tuning workflows. The work was implemented using Markdown and emphasized clear, accessible documentation practices to support efficient knowledge transfer and resource navigation within the project.