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Step-by-Step Tutorial to Building Your First Machine Learning Model – KDnuggets

Image by pch.vector on Freepik  Hi everyone! I am sure you are reading this article because you are interested in a machine-learning model and want...

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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents | Amazon Web Services

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both...

Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock | Amazon Web Services

In the world of online retail, creating high-quality product descriptions for millions of products is a crucial, but time-consuming task. Using machine learning (ML)...

Mixtral 8x22B is now available in Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce the Mixtral-8x22B large language model (LLM), developed by Mistral AI, is available for customers through Amazon SageMaker JumpStart...

RAG architecture with Voyage AI embedding models on Amazon SageMaker JumpStart and Anthropic Claude 3 models | Amazon Web Services

This post is a guest post co-written with Tengyu Ma and Wen Phan from Voyage AI. Organizations...

Revolutionizing data querying: Amazon Redshift and Visual Studio Code integration | Amazon Web Services

In today’s data-driven landscape, the efficiency and accessibility of querying tools play a crucial role in driving businesses forward. Amazon Redshift recently announced integration...

Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker | Amazon Web Services

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Their impressive generative abilities have led to widespread...

Introducing Amazon Q data integration in AWS Glue | Amazon Web Services

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability...

Cohere Command R and R+ are now available in Amazon SageMaker JumpStart | Amazon Web Services

This blog post is co-written with Pradeep Prabhakaran from Cohere.  Today, we are excited to announce that...

Databricks DBRX is now available in Amazon SageMaker JumpStart | Amazon Web Services

Today, we are excited to announce that the DBRX model, an open, general-purpose large language model (LLM) developed by Databricks, is available for customers...

Use your corporate identities for analytics with Amazon EMR and AWS IAM Identity Center | Amazon Web Services

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity...

Run interactive workloads on Amazon EMR Serverless from Amazon EMR Studio | Amazon Web Services

Starting from release 6.14, Amazon EMR Studio supports interactive analytics on Amazon EMR Serverless. You can now use EMR Serverless applications as the compute,...

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode...

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