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LLM experimentation at scale using Amazon SageMaker Pipelines and MLflow

LLM experimentation at scale using Amazon SageMaker Pipelines and MLflow

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task. You can customize the model …

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Discover insights from Amazon S3 with Amazon Q S3 connector 

Discover insights from Amazon S3 with Amazon Q S3 connector 

Amazon Q is a fully managed, generative artificial intelligence (AI) powered assistant that you can configure to answer questions, provide summaries, generate content, gain insights, and complete tasks based on data in your enterprise. The enterprise data required for these generative-AI powered assistants can reside in varied repositories across your organization. One common repository to …

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Boosting Salesforce Einstein’s code generating model performance with Amazon SageMaker

Boosting Salesforce Einstein’s code generating model performance with Amazon SageMaker

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer relationship management (CRM) software and applications focused on sales, customer service, marketing automation, …

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Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs

Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs

In today’s digital landscape, the protection of personally identifiable information (PII) is not just a regulatory requirement, but a cornerstone of consumer trust and business integrity. Organizations use advanced natural language detection services like Amazon Lex for building conversational interfaces and Amazon CloudWatch for monitoring and analyzing operational data. One risk many organizations face is …

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AWS AI chips deliver high performance and low cost for Llama 3.1 models on AWS

AWS AI chips deliver high performance and low cost for Llama 3.1 models on AWS

Today, we are excited to announce AWS Trainium and AWS Inferentia support for fine-tuning and inference of the Llama 3.1 models. The Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction tuned generative models in 8B, 70B, and 405B sizes. In a previous post, we covered how to …

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Use Llama 3.1 405B to generate synthetic data for fine-tuning tasks

Use Llama 3.1 405B to generate synthetic data for fine-tuning tasks

Today, we are excited to announce the availability of the Llama 3.1 405B model on Amazon SageMaker JumpStart, and Amazon Bedrock in preview. The Llama 3.1 models are a collection of state-of-the-art pre-trained and instruct fine-tuned generative artificial intelligence (AI) models in 8B, 70B, and 405B sizes. Amazon SageMaker JumpStart is a machine learning (ML) …

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Llama 3.1 models are now available in Amazon SageMaker JumpStart

Llama 3.1 models are now available in Amazon SageMaker JumpStart

Today, we are excited to announce that the state-of-the-art Llama 3.1 collection of multilingual large language models (LLMs), which includes pre-trained and instruction tuned generative AI models in 8B, 70B, and 405B sizes, is available through Amazon SageMaker JumpStart to deploy for inference. Llama is a publicly accessible LLM designed for developers, researchers, and businesses …

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Harnessing the full power of AI in the cloud: The economic impact of migrating to Azure for AI readiness

Harnessing the full power of AI in the cloud: The economic impact of migrating to Azure for AI readiness

As the digital landscape rapidly evolves, AI stands at the forefront, driving significant innovation across industries. However, to fully harness the power of AI, businesses must be AI-ready; this means having defined use-cases for their AI apps, being equipped with modernized databases that seamlessly integrate with AI models, and most importantly, having the right infrastructure …

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Microsoft Cost Management updates—June 2024

Microsoft Cost Management updates—June 2024

Whether you’re a new student, a thriving startup, or the largest enterprise, you have financial constraints, and you need to know what you’re spending, where it’s being spent, and how to plan for the future. Nobody wants a surprise when it comes to the bill, and this is where Microsoft Cost Management comes in.  We’re always looking …

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OpenAI’s fastest model, GPT-4o mini is now available on Azure AI

OpenAI’s fastest model, GPT-4o mini is now available on Azure AI

We are also announcing safety features by default for GPT-4o mini, expanded data residency and service availability, plus performance upgrades to Microsoft Azure OpenAI Service. GPT-4o mini allows customers to deliver stunning applications at a lower cost with blazing speed. GPT-4o mini is significantly smarter than GPT-3.5 Turbo—scoring 82% on Measuring Massive Multitask Language Understanding …

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