machine-learning video for you are a data scientist at a marketing agency tasked with creating a sentiment analysis model to analyze customer reviews for a new
You are a data scientist at a marketing agency tasked with creating a sentiment analysis model to analyze customer reviews for a new product. The company wants to quickly deploy a solution with minimal training time and development effort. You decide to leverage a pre-trained natural language processing (NLP) model and fine-tune it using a custom dataset of labeled customer reviews. Your team has access to both Amazon Bedrock and SageMaker JumpStart. Which approach is the MOST APPROPRIATE for fine-tuning the pre-trained model with your custom dataset?