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Customize agent workflows with advanced orchestration techniques using Strands Agents Artificial Intelligence

Customize agent workflows with advanced orchestration techniques using Strands Agents Artificial Intelligence

Customize agent workflows with advanced orchestration techniques using Strands AgentsArtificial Intelligence In this post, we explore two powerful orchestration patterns implemented with Strands Agents. Using a common set of travel planning tools, we demonstrate how different orchestration strategies can solve the same problem through distinct reasoning approaches,

 In this post, we explore two powerful orchestration patterns implemented with Strands Agents. Using a common set of travel planning tools, we demonstrate how different orchestration strategies can solve the same problem through distinct reasoning approaches, Read More  

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Operationalize generative AI workloads and scale to hundreds of use cases with Amazon Bedrock – Part 1: GenAIOps Artificial Intelligence

Operationalize generative AI workloads and scale to hundreds of use cases with Amazon Bedrock – Part 1: GenAIOps Artificial Intelligence

Operationalize generative AI workloads and scale to hundreds of use cases with Amazon Bedrock – Part 1: GenAIOpsArtificial Intelligence In this first part of our two-part series, you’ll learn how to evolve your existing DevOps architecture for generative AI workloads and implement GenAIOps practices. We’ll showcase practical implementation strategies for different generative AI adoption levels, focusing on consuming foundation models.

 In this first part of our two-part series, you’ll learn how to evolve your existing DevOps architecture for generative AI workloads and implement GenAIOps practices. We’ll showcase practical implementation strategies for different generative AI adoption levels, focusing on consuming foundation models. Read More  

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Applying data loading best practices for ML training with Amazon S3 clients Artificial Intelligence

Applying data loading best practices for ML training with Amazon S3 clients Artificial Intelligence

Applying data loading best practices for ML training with Amazon S3 clientsArtificial Intelligence In this post, we present practical techniques and recommendations for optimizing throughput in ML training workloads that read data directly from Amazon S3 general purpose buckets.

 In this post, we present practical techniques and recommendations for optimizing throughput in ML training workloads that read data directly from Amazon S3 general purpose buckets. Read More  

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The Data Detox: Training Yourself for the Messy, Noisy, Real World KDnuggets

The Data Detox: Training Yourself for the Messy, Noisy, Real World KDnuggets

The Data Detox: Training Yourself for the Messy, Noisy, Real WorldKDnuggets In this article, we’ll use a real-life data project to explore four practical steps for preparing to deal with messy, real-life datasets.

 In this article, we’ll use a real-life data project to explore four practical steps for preparing to deal with messy, real-life datasets. Read More  

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6 Technical Skills That Make You a Senior Data Scientist Towards Data Science

6 Technical Skills That Make You a Senior Data ScientistTowards Data Science Beyond writing code, these are the design-level decisions, trade-offs, and habits that quietly separate senior data scientists from everyone else.
The post 6 Technical Skills That Make You a Senior Data Scientist appeared first on Towards Data Science.

 Beyond writing code, these are the design-level decisions, trade-offs, and habits that quietly separate senior data scientists from everyone else.
The post 6 Technical Skills That Make You a Senior Data Scientist appeared first on Towards Data Science. Read More  

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How Transformers Think: The Information Flow That Makes Language Models Work KDnuggets

How Transformers Think: The Information Flow That Makes Language Models Work KDnuggets

How Transformers Think: The Information Flow That Makes Language Models WorkKDnuggets Let’s uncover how transformer models sitting behind LLMs analyze input information like user prompts and how they generate coherent, meaningful, and relevant output text “word by word”.

 Let’s uncover how transformer models sitting behind LLMs analyze input information like user prompts and how they generate coherent, meaningful, and relevant output text “word by word”. Read More