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Enhance Amazon EMR scaling capabilities with Application Master Placement

AWS Big Data

One of the key features of Amazon EMR on EC2 is managed scaling, which dynamically adjusts computing capacity in response to application demands, providing optimal performance and cost-efficiency. This feature is enabled by default when a cluster is launched with Amazon EMR 7.2.0

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Introducing Cloudera Fine Tuning Studio for Training, Evaluating, and Deploying LLMs with Cloudera AI

Cloudera

Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. These enable customer service representatives to focus their time and attention on more high-value interactions, leading to a more cost-efficient service model.

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How Stifel built a modern data platform using AWS Glue and an event-driven domain architecture

AWS Big Data

In this post, we show you how Stifel implemented a modern data platform using AWS services and open data standards, building an event-driven architecture for domain data products while centralizing the metadata to facilitate discovery and sharing of data products. Each domain can use this shared data to create their own data products.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau. By centralizing container and logistics application data through Amazon Redshift and establishing a governance framework with Amazon DataZone, EUROGATE achieved both performance optimization and cost efficiency.

IoT
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Generative AI: A Self-Study Roadmap

KDnuggets

Cost Optimization and Token Management : Foundation model APIs charge based on token usage, making cost optimization essential for production applications. Understanding how different models tokenize text helps you estimate costs accurately and design efficient prompting strategies.

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Key Takeaways from AWS re:Invent 2024

Cloudera

Finally, we hosted a hands-on workshop to walk attendees through a Retrieval-Augmented Generation (RAG) workflow within Cloudera AI to show how easy it is to deploy contextualized models based on organizational data. The event embodied the collaborative spirit that defines our work with AWS and our partners.

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Benefits of Using LiteLLM for Your LLM Apps

KDnuggets

That is why having an open-source tool such as LiteLLM is useful when you need standardized access to your LLM apps without any additional cost. Benefit 1: Unified Access LiteLLMs biggest advantage is its compatibility with different model providers. Let’s get into it. 06, additional_headers: {}, litellm_model_name: gemini/gemini-1.5-flash-latest}