Fine-tune Meta Llama 3.1 models for generative AI inference using Amazon SageMaker JumpStart
CAT
1 min read
Fine-tuning Meta Llama 3.1 models with Amazon SageMaker JumpStart enables developers to customize these publicly available foundation models (FMs). The Meta Llama 3.1 collection represents a significant advancement in the field of generative artificial intelligence (AI), offering a range of capabilities to create innovative applications. The Meta Llama 3.1 models come in various sizes, with 8 billion, 70 billion, and 405 billion parameters, catering to diverse project needs. In this post, we demonstrate how to fine-tune Meta Llama 3-1 pre-trained text generation models using SageMaker JumpStart.
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Fine-tune Meta Llama 3.1 models for generative AI inference using Amazon SageMaker JumpStart
