Obtain ~2x speed-up in LLM inference with Medusa-1 on Amazon SageMaker AI
This weblog submit is co-written with Moran Beladev, Manos Stergiadis, and Ilya Gusev from Reserving.com. Giant language fashions (LLMs) have ...
Tag: inference
Constructing the way forward for development analytics: CONXAI’s AI inference on Amazon EKS
This can be a visitor submit co-written with Tim Krause, Lead MLOps Architect at CONXAI. CONXAI Know-how GmbH is pioneering ...
Create a SageMaker inference endpoint with customized mannequin & prolonged container
Amazon SageMaker gives a seamless expertise for constructing, coaching, and deploying machine studying (ML) fashions at scale. Though SageMaker gives ...
Unlock cost-effective AI inference utilizing Amazon Bedrock serverless capabilities with an Amazon SageMaker educated mannequin
On this submit, I’ll present you tips on how to use Amazon Bedrock—with its absolutely managed, on-demand API—together with your ...
Combining Massive and Small LLMs to Increase Inference Time and High quality | by Richa Gadgil | Dec, 2024
Implementing Speculative and Contrastive DecodingMassive Language fashions are comprised of billions of parameters (weights). For every phrase it generates, the ...
Advancing Medical AI: Evaluating OpenAI’s o1-Preview Mannequin and Optimizing Inference Methods
Medprompt, a run-time steering technique, demonstrates the potential of guiding general-purpose LLMs to realize state-of-the-art efficiency in specialised domains like ...
Simply deploy and handle lots of of LoRA adapters with SageMaker environment friendly multi-adapter inference
The brand new environment friendly multi-adapter inference characteristic of Amazon SageMaker unlocks thrilling prospects for purchasers utilizing fine-tuned fashions. This ...
Amazon SageMaker Inference now helps G6e cases
Because the demand for generative AI continues to develop, builders and enterprises search extra versatile, cost-effective, and highly effective accelerators ...
Meet FluidML: A Generic Runtime Reminiscence Administration and Optimization Framework for Quicker, Smarter Machine Studying Inference
Deploying machine studying fashions on edge gadgets poses important challenges on account of restricted computational assets. When the dimensions and ...
Positive-tune Meta Llama 3.2 textual content era fashions for generative AI inference utilizing Amazon SageMaker JumpStart
Generative AI fashions have seen super development, providing cutting-edge options for textual content era, summarization, code era, and query answering. ...
