How Zalando optimized large-scale inference and streamlined ML operations on Amazon SageMaker
This post is cowritten with Mones Raslan, Ravi Sharma and Adele Gouttes from Zalando. Zalando SE is one of Europe’s largest ...
Tag: optimized
K-12 Facility Managers See Efficiencies and Optimized Budgets
Key points: K-12 facility managers are emphasizing efficiency and cost savings as they face the twin challenges of aging infrastructure ...
VectorSearch – A comprehensive solution to document retrieval challenges with hybrid indexing, multi-vector search, and optimized query performance
The field of information retrieval has evolved rapidly due to the exponential growth of digital data. With the increasing volume ...
NVIDIA Releases NVEagle: An Impressive Vision Language Model Coming in 7B, 13B, and 13B Optimized for Chat
Join the fastest growing ai research newsletter read by researchers from Google + NVIDIA + Meta + Stanford + MIT ...
Artifacts: Revealing the Power of Claude 3.5 Sonnet: A Guide to Optimized AI Integration into Workspaces
The integration of artificial intelligence (ai) is revolutionizing the way professionals interact and use ai-generated content in digital workspaces. As ...
How Twilio used Amazon SageMaker MLOps pipelines with PrestoDB to enable frequent model retraining and optimized batch transform
This post is co-written with Shamik Ray, Srivyshnav K S, Jagmohan Dhiman and Soumya Kundu from Twilio. Today’s leading companies ...
A new Google study presents a Personal Health Large Language Model (Ph-Llm) – a version of Gemini optimized for text understanding with numerical time series of personal health data
A wide variety of areas have demonstrated excellent performance for large language models (LLMs), which are flexible tools for language ...
Integrations and applications for optimized accounting
Business leaders have stopped discussing whether software solutions and enterprise applications can change the way they do business; Now, they ...
Apple researchers propose MobileCLIP: a new family of image and text models optimized for runtime performance through multi-modal reinforcement training
In multimodal learning, large image and text basic models have demonstrated excellent zero-shot performance and improved stability in a wide ...
UC Berkeley Researchers Introduce LoRA+: A Breakthrough in Machine Learning Model Tuning with Optimized Learning Rates for Superior Efficiency and Performance
In deep learning, the quest for efficiency has led to a paradigm shift in how we tune large-scale models. The ...
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