Scalable
Artificial Intelligence
Beyond Generative AI: Constructing a Comprehensive and Scalable Digital Infrastructure
Hardly a day goes by when Generative AI (GenAI) doesn’t dominate the business media headlines. Within the last 12 months, it has turn into ubiquitous in business strategy and organizations across industries are increasingly...
Artificial Intelligence
Welcome to Lavita Advisory Council — Professor Haixu Tang of Indiana University, expert in computational biology applications for biomedical sciences About Scalable Secure Computing and...
We’re excited to announce that Dr. Haixu Tang, Professor of Informatics and Computing, Director of Data Science Academic Programs, and Adjunct Professor within the Department of Biology at Indiana University, Bloomington, has joined the...
Artificial Intelligence
MIT researchers make language models scalable self-learners
Socrates once said: “It isn't the scale of a thing, but the...
Artificial Intelligence
Introducing HyperCycle: A Layer 0++ Blockchain Architecture Optimised for Scalable AI Microservices Introduction What’s Layer 0++? HyperCycle Design Potential Applications Token Utility
“There’s no such thing as layer 0, in truth Layer 1 Blockchains are Layer 5 on the network topology stack” said Toufi Saliba, CEO of HyperCycle and writer of Toda/IP. “So we're innovating here,...
Artificial Intelligence
Deploy ML Models with AWS Lambda & Ephemeral Storage Prerequisites 1. ML Model 2. Lambda Function 3. Docker Image 4. Infrastructure Limitations and making the Solution scalable
It's important to offer enough memory_size to the Lambda in addition to a big enough ephemeral_storage_size. Furthermore, we want to point the PYTORCH_TRANSFORMERS_CACHE directory to the /tmp directory to permit the Transformers library to...
Artificial Intelligence
Fast and Scalable Hyperparameter Tuning and Cross-validation in AWS SageMaker 1. What are Warm Pools? 2. End-to-end SageMaker Pipeline 3. What happens contained in the Tuning step? 4....
Using SageMaker Managed Warm PoolsThe answer relies on SageMaker Automatic Model Tuning to create and orchestrate the training jobs that test multiple hyperparameter mixtures. The Automatic Model Tuning job might be launched using the...
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