Dive deep into the intricacies of running Llama-2 in machine learning pipelines. We unpack the challenges and showcase how to maintain a serverless approach, optimize costs, leverage hardware accelerators, and ensure swift model download.


  • Setting up Vertex AI Pipelines on Google Cloud
  • Implementing the Llama model in pipelines using Python within the Kubeflow framework
  • Using the Hugging Face Transformers PyTorch GPU image
  • Streamlining the process of model download and chat text generation
  • Troubleshooting and refining your pipeline