Remove 2024 Remove Accountability Remove Scripts
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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. script provided with the CRAG benchmark for accuracy evaluations. The script was enhanced to provide proper categorization of correct, incorrect, and missing responses.

Benchmark 111
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Contact Center Trends 2024: Our Predictions

Fonolo

Our 2024 trends document covers it all. Here’s a snapshot of what you’ll find: 2024 Contact Center Trends Chatbots get a glow-up By now, most of us have had a run-in with the first generation of chatbots. In 2024, we think they will get a major glow-up as companies embrace a much more intelligent version of chatbots.

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Transforming Customer Experience with Contact Center Automation

CCNG

Self-Service Portals: Online portals allow customers to access information, manage accounts, track orders, and even reset passwords independently, reducing call volume and improving convenience. Conversational Self-Service: Conversational AI goes beyond scripted interactions, offering intuitive self-service options.

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Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning

Reusable scaling scripts for rapid experimentation – HyperPod offers a set of scalable and reusable scripts that simplify the process of launching multiple training runs. In your account, you will have a VPC provisioned with a public and private subnet, and an S3 bucket synced to your FSxL file system via a data repository link.

Scripts 117
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Node problem detection and recovery for AWS Neuron nodes within Amazon EKS clusters

AWS Machine Learning

eks-5e0fdde Install the required AWS Identity and Access Management (IAM) role for the service account and the node problem detector plugin. In the training scripts, it saves checkpoints periodically so that the training will resume from the previous checkpoint. /install.sh compute.internal Ready 31d v1.29.0-eks-5e0fdde

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Achieve ~2x speed-up in LLM inference with Medusa-1 on Amazon SageMaker AI

AWS Machine Learning

Prerequisites To build the solution yourself, there are the following prerequisites: You need an AWS account with an AWS Identity and Access Management (IAM) role that has permissions to manage resources created as part of the solution (for example AmazonSageMakerFullAccess and AmazonS3FullAccess ).

Scripts 78
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Introducing Amazon EKS support in Amazon SageMaker HyperPod

AWS Machine Learning

This VPC doesn’t appear in the customer account. This VPC doesn’t appear in the customer account. The nodes connect to the EKS control plane through a cross-account elastic network interface (ENI). For example: # Example1 { "level": "error", "ts": "2024-08-15T21:15:22Z", "msg": "Encountered FaultyInstance.

APIs 89