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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. How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics? Vector database FloTorch selected Amazon OpenSearch Service as a vector database for its high-performance metrics.

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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. The Observability section of this post goes into more detail on which metrics are exported and what the dashboards look like in Amazon Managaed Grafana.

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

AWS Machine Learning

The node recovery agent is a separate component that periodically checks the Prometheus metrics exposed by the node problem detector. Additionally, the node recovery agent will publish Amazon CloudWatch metrics for users to monitor and alert on these events. The following diagram illustrates the solution architecture and workflow.

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

AWS Machine Learning

This repository is a modified version of the original How to Fine-Tune LLMs in 2024 on Amazon SageMaker. We also included a data exploration script to analyze the length of input and output tokens. Within the repository, you can use the medusa_1_train.ipynb notebook to run all the steps in this post.

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Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2

AWS Machine Learning

Most of the details will be abstracted by the automation scripts that we use to run the Llama2 example. A scripted walkthrough is available on GitHub for an out-of-the-box experience. Grafana dashboard Now that you understand how your system works on the pod and node level, it’s also important to look at metrics at the cluster level.

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15 Crucial Call Center Software Features for 2024: Must-Have Capabilities & Requirements

NobelBiz

In 2024, businesses have the crucial responsibility of understanding and adopting the latest technology trends in customer service. Dynamic Scripting is about empowering agents to be more than just voices on the phone; it allows them to be genuine problem-solvers and empathetic listeners.

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Top 5 Call Center Quality Assurance Software for 2024

Balto

Here’s the good news: in 2024, we have a wide array of capable call center quality assurance software solutions that can streamline QA processes, automate manual tasks, and deliver insightful reports to support decision-making. The post Top 5 Call Center Quality Assurance Software for 2024 appeared first on Balto.