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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

Training 113
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Why GreenOps will succeed where FinOps is failing

CIO

Capital One built Cloud Custodian initially to address the issue of dev/test systems left running with little utilization. Architects must combine functional requirements with multiple other long-term requirements to build sustainable systems. Standardized metrics. Overemphasis on tools, budgets and controls.

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LLM benchmarking: How to find the right AI model

CIO

There are two main approaches: Reference-based metrics: These metrics compare the generated response of a model with an ideal reference text. Reference-free metrics: These metrics evaluate the quality of a generated text independently of a reference. This approach enables new possibilities that go beyond classic metrics.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO

Observer-optimiser: Continuous monitoring, review and refinement is essential. enterprise architects ensure systems are performing at their best, with mechanisms (e.g. They ensure that all systems and components, wherever they are and who owns them, work together harmoniously.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

Manually reviewing and processing this information can be a challenging and time-consuming task, with a margin for potential errors. The Education and Training Quality Authority (BQA) plays a critical role in improving the quality of education and training services in the Kingdom Bahrain.

Education 112
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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use. Verisk also has a legal review for IP protection and compliance within their contracts. Verisk conducted multiple rounds of human evaluation of the generated results.

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When is data too clean to be useful for enterprise AI?

CIO

For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine. But that’s exactly the kind of data you want to include when training an AI to give photography tips.

Data 211