Remove 2025 Remove Clustering Remove Computer Science
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Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans

AWS Machine Learning Blog

However, customizing these larger models requires access to the latest and accelerated compute resources. 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. For Target , select HyperPod cluster.

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Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes

KDnuggets

By Shamima Sultana on June 19, 2025 in Data Science Image by Editor | Midjourney While Python-based tools like Streamlit are popular for creating data dashboards, Excel remains one of the most accessible and powerful platforms for building interactive data visualizations. Select Jan 2025 from Timeline. Ensure no errors appear.

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Streamline machine learning workflows with SkyPilot on Amazon SageMaker HyperPod

AWS Machine Learning Blog

The complexity of Kubernetes manifests and cluster management can pose significant challenges, potentially slowing down development cycles and resource utilization. Solution overview Implementing this solution is straightforward, whether you’re working with existing SageMaker HyperPod clusters or setting up a new deployment.

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How climate tech startups are building foundation models with Amazon SageMaker HyperPod

Flipboard

In 2024, climate disasters caused more than $417B in damages globally, and theres no slowing down in 2025 with LA wildfires that destroyed more than $135B in the first month of the year alone. Solutions to the climate crisis are ever more important as climate-driven extreme weather disasters increase globally.

AWS 116
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Firebender (YC W24) Is Hiring

Hacker News

Responsibilities Build/iterate on agentic evaluation, and discovery multi agent strategies to solve harder and harder coding problems on large codebases Manage infrastructure of our h100 cluster, and implement run time improvements like speculative decoding, kv-cache tuning, etc.

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Build AWS architecture diagrams using Amazon Q CLI and MCP

AWS Machine Learning Blog

With a background in Computer Science, his work covers broad range of ML use cases primarily focusing on LLM training/inferencing and computer vision. MCP servers act as plugins for Amazon Q, providing domain-specific knowledge and functionality. Include Kinesis, Lambda, S3, Glue, and QuickSight.

AWS 67
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Build a Search Engine: Semantic Search System Using OpenSearch

PyImageSearch

Each word or sentence is mapped to a high-dimensional vector space, where similar meanings cluster together. exceptions.InsecureRequestWarning) def perform_search(query_text, model_id): """ Perform a search operation using the neural query on the OpenSearch cluster. Or requires a degree in computer science? What's next?