Remove 2024 Remove Clustering Remove ML
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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Visit the session catalog to learn about all our generative AI and ML sessions.

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Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans

AWS Machine Learning Blog

In this post, we demonstrate how you can address this requirement by using Amazon SageMaker HyperPod training plans , which can bring down your training cluster procurement wait time. We further guide you through using the training plan to submit SageMaker training jobs or create SageMaker HyperPod clusters. Create a new training plan.

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Identification of Hazardous Areas for Priority Landmine Clearance: AI for Humanitarian Mine Action

ML @ CMU

In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool for landmine contamination to identify hazardous clusters under geographic and budget constraints, experimentally reducing false alarms and clearance time by half. RELand consistently outperforms the benchmark models on all relevant metrics.

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Evaluating Long-Context Question & Answer Systems

Eugene Yan

in 2024 , is a benchmark designed for evaluating reading comprehension on very long texts, often exceeding 200,000 tokens. 2024) , is a benchmark that evaluates long-context comprehension across multiple documents. Clustering : Aggregating and grouping relevant information from multiple sources based on specific criteria.

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Introducing Databricks One

databricks

It gives these users a single, intuitive entry point to interact with data and AI—without needing to understand clusters, queries, models, or notebooks. Databricks One is a new product experience designed specifically for business users.

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Accelerating Mixtral MoE fine-tuning on Amazon SageMaker with QLoRA

AWS Machine Learning Blog

Although QLoRA helps optimize memory during fine-tuning, we will use Amazon SageMaker Training to spin up a resilient training cluster, manage orchestration, and monitor the cluster for failures. To take complete advantage of this multi-GPU cluster, we use the recent support of QLoRA and PyTorch FSDP. 24xlarge compute instance.

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Customize DeepSeek-R1 distilled models using Amazon SageMaker HyperPod recipes – Part 1

AWS Machine Learning Blog

Amazon SageMaker HyperPod recipes At re:Invent 2024, we announced the general availability of Amazon SageMaker HyperPod recipes. The launcher interfaces with underlying cluster management systems such as SageMaker HyperPod (Slurm or Kubernetes) or training jobs, which handle resource allocation and scheduling. recipes=recipe-name.