The Llama 3.3 70B model from Meta is now available in Amazon SageMaker JumpStart, offering a cost-effective and efficient option for large language model deployments with high performance.
In this post, we'll explore how to use Hugging Face's Pipeline API to generate summaries with a zero-shot model and train a summarization model on the arXiv dataset. We'll also evaluate the trained model and compare it to the simple heuristic we developed in the previous post.