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Efficient continual pre-training LLMs for financial domains

Efficient continual pre-training LLMs for financial domains

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl, C4, Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains. Although the resulting models yield amazingly good results for general tasks, such as …

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Announcing new tools in Azure AI to help you build more secure and trustworthy generative AI applications

Announcing new tools in Azure AI to help you build more secure and trustworthy generative AI applications

In the rapidly evolving landscape of generative AI, business leaders are trying to strike the right balance between innovation and risk management. Prompt injection attacks have emerged as a significant challenge, where malicious actors try to manipulate an AI system into doing something outside its intended purpose, such as producing harmful content or exfiltrating confidential …

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Microsoft Azure delivers game-changing performance for generative AI Inference

Microsoft Azure delivers game-changing performance for generative AI Inference

Microsoft Azure has delivered industry-leading results for AI inference workloads among cloud service providers in the most recent MLPerf Inference results published publicly by MLCommons. The Azure results were achieved using the new NC H100 v5 series virtual machines (VMs) powered by NVIDIA H100 NVL Tensor Core GPUs and reinforced the commitment from Azure to designing AI …

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Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance. This requires carefully combining applications and metrics to provide complete …

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Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization

Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization

Amazon Titan lmage Generator G1 is a cutting-edge text-to-image model, available via Amazon Bedrock, that is able to understand prompts describing multiple objects in various contexts and captures these relevant details in the images it generates. It is available in US East (N. Virginia) and US West (Oregon) AWS Regions and can perform advanced image …

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Build a receipt and invoice processing pipeline with Amazon Textract

Build a receipt and invoice processing pipeline with Amazon Textract

In today’s business landscape, organizations are constantly seeking ways to optimize their financial processes, enhance efficiency, and drive cost savings. One area that holds significant potential for improvement is accounts payable. On a high level, the accounts payable process includes receiving and scanning invoices, extraction of the relevant data from scanned invoices, validation, approval, and …

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Introducing modern data governance for the era of AI 

Introducing modern data governance for the era of AI 

The era of generative AI has arrived, offering new possibilities for every person, business, and industry. At the same time, the speed, scale, and sophistication of cyberattacks, increasing regulations, an ever-expanding data estate, and business demand for data insights are all converging. This convergence pressurizes business leaders to adopt a modern data governance and security …

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The Microsoft Intelligent Data Platform—Unleash your data and accelerate your transformation

The Microsoft Intelligent Data Platform—Unleash your data and accelerate your transformation

Canopius, a global specialty and P&C (re)insurance business, knew its success hinged on its ability to access all its data but that its existing infrastructure was hurting, not helping, its ability to do so. It wanted to capitalize on its data for increased productivity and it wanted a cloud platform capable of handling advanced technologies …

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