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Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

AWS Machine Learning

For example, during the project planning phase, you should invest in cloud financial management skills and tools, and align finance and tech teams to incorporate both business and technology perspectives. Most importantly, you need to establish collaboration between finance and technology. Let’s consider different project phases.

Finance 119
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Build well-architected IDP solutions with a custom lens – Part 4: Performance efficiency

AWS Machine Learning

You can save time, money, and labor by implementing classifications in your workflow, and documents go to downstream applications and APIs based on document type. This helps you avoid throttling limits on API calls due to polling the Get* APIs. His interests include serverless architectures and AI/ML.

APIs 126
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A review of purpose-built accelerators for financial services

AWS Machine Learning

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. The CUDA API and SDK were first released by NVIDIA in 2007. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

Benchmark 113
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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 143
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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning

Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well. Based on our hyperparameter tuning experiments across different use cases, the API allows a range of 4–256, with a default of 32. We focus on the task of answering questions about the table.

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Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers

AWS Machine Learning

In this post, we explore the latest features introduced in this release, examine performance benchmarks, and provide a detailed guide on deploying new LLMs with LMI DLCs at high performance. Before introducing this API, the KV cache was recomputed for any newly added requests. Qing Lan is a Software Development Engineer in AWS.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. Kojima et al. 2022) introduced an idea of zero-shot CoT by using FMs’ untapped zero-shot capabilities.