AWS Machine Learning Blog

MARCH 13, 2025

MoE models like DeepSeek-V3 and Mixtral replace the standard feed-forward neural network in transformers with a set of parallel sub-networks called experts. For a complete list of runtime configurations, please refer to text-generation-launcher arguments. The best performance was observed on ml.p4dn.24xlarge

LLM 83

LLM Machine Learning AI AI 83

AWS Machine Learning Blog

NOVEMBER 22, 2023

Similar to the rest of the industry, the advancements of accelerated hardware have allowed Amazon teams to pursue model architectures using neural networks and deep learning (DL). About the Authors Abhinandan Patni is a Senior Software Engineer at Amazon Search. Jerry Mannil is a software engineer at Amazon Search.

LLM 109

LLM Software Engineer Auto-complete Neural Network 109

AWS Machine Learning Blog

MAY 31, 2023

PyTorch supports dynamic computational graphs, enabling network behavior to be changed at runtime. This provides a major flexibility advantage over the majority of ML frameworks, which require neural networks to be defined as static objects before runtime. xlarge instance. Be sure to try it out!

ML 101

ML Auto-classification Auto-complete Natural Language Processing 101

Mlearning.ai

JUNE 22, 2023

Understanding the biggest neural network in Deep Learning Join 34K+ People and get the most important ideas in AI and Machine Learning delivered to your inbox for free here Deep learning with transformers has revolutionized the field of machine learning, offering various models with distinct features and capabilities.

Auto-classification 52

Auto-classification Auto-complete BERT Deep Learning 52

The MLOps Blog

JUNE 27, 2023

Can you see the complete model lineage with data/models/experiments used downstream? Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. Is it accessible from your language/framework/infrastructure, framework, or infrastructure?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Snorkel AI

MARCH 2, 2023

They’re focused on many, many downstream tasks and activities, and the capabilities they have stem from the fact that they are leveraging some pathway within the neural network, not the entire neural network necessarily. Others, toward language completion and further downstream tasks.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

They’re focused on many, many downstream tasks and activities, and the capabilities they have stem from the fact that they are leveraging some pathway within the neural network, not the entire neural network necessarily. Others, toward language completion and further downstream tasks.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52