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How iFood built a platform to run hundreds of machine learning models with Amazon SageMaker Inference
Headquartered in São Paulo, Brazil, iFood is a national private company and the leader in food-tech in Latin America, processing ...
Tag: inference
Modeling of scalable and principles rewards for LLM: Improvement of RMS generalist reward models and inference time optimization
RL reinforcement learning has become a method after training widely used for LLM, improving capacities such as human alignment, long ...
The Case for Centralized AI Model Inference Serving
models continue to increase in scope and accuracy, even tasks once dominated by traditional algorithms are gradually being replaced by ...
Efficient Inference time scale for flow models: improvement of sampling diversity and calculating allocation
Recent advances in ai laws have changed an increase in model size and training data optimization of the inference time ...
Enhance deployment guardrails with inference component rolling updates for Amazon SageMaker AI inference
Deploying models efficiently, reliably, and cost-effectively is a critical challenge for organizations of all sizes. As organizations increasingly deploy foundation ...
Enable Amazon Bedrock cross-Region inference in multi-account environments
amazon Bedrock cross-Region inference capability that provides organizations with flexibility to access foundation models (FMs) across AWS Regions while maintaining ...
Mastering the Poisson Distribution: Intuition and Foundations
You’ve probably used the normal distribution one or two times too many. We all have — It’s a true workhorse. ...
NVIDIA AI OPEN SOURCES Dynamo: An open source inference library to accelerate and climb AI reasoning models in AI factories
The rapid advance of artificial intelligence (ai) has led to the development of complex models capable of understanding and generating ...
How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock
This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative ai solutions ...
M2R2: Multi-tasa waste mixture for an efficient transformer inference
Residual transformations improve the depth of representation and expressive power of large language models (LLM). However, the application of static ...
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