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It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). Alternative LLMs can be deployed based on the use case and model performance benchmarks. Dataset overview The dataset used for this solution is pile-of-law within the Hugging Face repository.
Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The training data must be formatted in a JSON Lines (.jsonl) from sagemaker.s3
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