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Description
The Trn1 instances of Amazon Elastic Compute Cloud (EC2), driven by AWS Trainium chips, are specifically designed to enhance the efficiency of deep learning training for generative AI models, such as large language models and latent diffusion models. These instances provide significant cost savings of up to 50% compared to other similar Amazon EC2 offerings. They are capable of facilitating the training of deep learning and generative AI models with over 100 billion parameters, applicable in various domains, including text summarization, code generation, question answering, image and video creation, recommendation systems, and fraud detection. Additionally, the AWS Neuron SDK supports developers in training their models on AWS Trainium and deploying them on the AWS Inferentia chips. With seamless integration into popular frameworks like PyTorch and TensorFlow, developers can leverage their current codebases and workflows for training on Trn1 instances, ensuring a smooth transition to optimized deep learning practices. Furthermore, this capability allows businesses to harness advanced AI technologies while maintaining cost-effectiveness and performance.
Description
Guide Labs is focused on creating a groundbreaking series of interpretable AI systems and foundational models that can be easily debugged, trusted, and comprehended by humans. Our models are specifically designed to yield factors that are understandable to humans for every output, along with reliable context citations and clear indications of the training data that impacts the generated results. This innovative approach seeks to resolve the shortcomings found in contemporary AI systems, which frequently produce explanations that are disconnected from the outputs, lack effective debugging capabilities, and present challenges in terms of control and alignment. The team at Guide Labs consists of professionals with more than two decades of expertise in the field of interpretable machine learning. We have pioneered the first interpretable generative diffusion model as well as a large language model, marking significant advancements in this area. Our efforts involve a complete reevaluation of the model architecture, loss function, and overall pipeline to refine the model training process, resulting in models that are not only more understandable but also allow for easier identification and rectification of errors, as well as enhanced alignment with human expectations. Ultimately, our mission is to bridge the gap between AI complexity and human comprehension, fostering a more robust interaction with artificial intelligence.
API Access
Has API
API Access
Has API
Integrations
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS Inferentia
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Integrations
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS Inferentia
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Pricing Details
$1.34 per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/instance-types/trn1/
Vendor Details
Company Name
Guide Labs
Founded
2023
Website
www.guidelabs.ai/
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
