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Implementing hardware resiliency in your training infrastructure is crucial to mitigating risks and enabling uninterrupted model training. By implementing features such as proactive health monitoring and automated recovery mechanisms, organizations can create a fault-tolerant environment capable of handling hardware failures or other issues without compromising the integrity of the training process. In the post, we …

Node problem detection and recovery for AWS Neuron nodes within Amazon EKS clusters Read More »

Mistral AI’s Mistral Large 2 (24.07) foundation model (FM) is now generally available in Amazon Bedrock. Mistral Large 2 is the newest version of Mistral Large, and according to Mistral AI offers significant improvements across multilingual capabilities, math, reasoning, coding, and much more. In this post, we discuss the benefits and capabilities of this new …

Mistral Large 2 is now available in Amazon Bedrock Read More »

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 …

LLM experimentation at scale using Amazon SageMaker Pipelines and MLflow Read More »

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 …

Discover insights from Amazon S3 with Amazon Q S3 connector  Read More »

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, …

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

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 …

Detect and protect sensitive data with Amazon Lex and Amazon CloudWatch Logs Read More »

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 …

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

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) …

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

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 …

Llama 3.1 models are now available in Amazon SageMaker JumpStart Read More »

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 …

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