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.
Highlights:
- 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
