Chae-Yeun Park and Nathan KilloranXanadu, Toronto, ON, M5G 2C8, CanadaFind this paper interesting or want to discuss? Scite or leave a comment on SciRate.AbstractVariational...

Chae-Yeun Park and Nathan KilloranXanadu, Toronto, ON, M5G 2C8, CanadaFind this paper interesting or want to discuss? Scite or leave a comment on SciRate.AbstractVariational...

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

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

Today, we are excited to announce that the Mixtral-8x7B large language model (LLM), developed by Mistral AI, is available for customers through Amazon SageMaker...

Today we are excited to announce that the Llama Guard model is now available for customers using Amazon SageMaker JumpStart. Llama Guard provides input...

Large language models (or LLMs) have become a topic of daily conversations. Their quick adoption is evident by the amount of time required to...

Text vectors or embeddings are numerical vector representations of text that are generated by large language models (LLMs). After LLMs are fully pre-trained on...

Today, we are excited to announce the capability to fine-tune the Mistral 7B model using Amazon SageMaker JumpStart. You can now fine-tune and deploy...

We are excited to announce that Amazon SageMaker JumpStart can now stream large language model (LLM) inference responses. Token streaming allows you to see...

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing....

We are excited to announce a simplified version of the Amazon SageMaker JumpStart SDK that makes it straightforward to build, train, and deploy foundation...