Remove Clustering Remove Data Models Remove Natural Language Processing
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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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Bitcoin price outlook: How AI and data science are reshaping crypto market forecasting

Dataconomy

Clustering algorithms (K-Means) classify wallet activity to forecast shifts on a larger scale. These models usually combine on-chain data with social metrics and some macro variables to achieve a holistic view of market risk and momentum. Also, AI can analyze real-time data and provide risk assessments on the minute.

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Ask HN: Who wants to be hired? (July 2025)

Hacker News

I have about 3 YoE training PyTorch models on HPC clusters and 1 YoE optimizing PyTorch models, including with custom CUDA kernels. Ideal job would be designing, developing (CRDs, operators), monitoring and troubleshooting K8s clusters. I currently work at a public HPC center, where I am also doing a PhD.

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Traditional vs Vector databases: Your guide to make the right choice

Data Science Dojo

Hence, this blog will explore the debate from a few particular aspects, highlighting the characteristics of both traditional and vector databases in the process. Traditional vs vector databases Data models Traditional databases: They use a relational model that consists of a structured tabular form.

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Top 17 trending interview questions for AI Scientists

Data Science Dojo

They dive deep into artificial neural networks, algorithms, and data structures, creating groundbreaking solutions for complex issues. These professionals venture into new frontiers like machine learning, natural language processing, and computer vision, continually pushing the limits of AI’s potential.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

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Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

AWS Machine Learning Blog

However, building large distributed training clusters is a complex and time-intensive process that requires in-depth expertise. It removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training foundation models (FMs).