Tag: JumpStart

Fine-tune Code Llama on Amazon SageMaker JumpStart

Today, we are excited to announce the capability to fine-tune Code Llama models by Meta using Amazon SageMaker JumpStart. The

Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of

Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern,

When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance:

Exploring robust RAG development with LlamaPacks, Lighthouz AI, and Llama Guard Image generated by DALL-E 3 by the author Since

Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia