Published Apr 2, 2019

The landscape of AI infrastructure

Discover the intricacies of AI infrastructure as Chris Benson and Daniel Whitenack delve into effective learning platforms, community engagement, and the balance between local and cloud-based development. Gain insights on essential tools, deployment strategies, and automation, empowering efficient AI model development and workflows.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Practical AI

The landscape of AI infrastructure

Topics covered

Popular Clips

AI Learning Resources

AI Infrastructure Options

AI Infrastructure Insights

AI Development Environments

AI Automation Tools

AI Development Environments

Home Office Happiness

AI Workflow Resources

Three Brains Unveiled

Personal AI Setups

Data Challenges

Data Concerns, AI Workflows

AI Insights

On-Premise vs. Cloud

Episode Highlights

AI Learning and Resources

AI Infrastructure Overview

AI Workflow and Tools

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Topics covered

Popular Clips

Episode Highlights

AI Learning and ResourcesChris Benson and Daniel Whitenack explore AI infrastructure, focusing on learning platforms and community engagement. They discuss practical resources and the importance of collaboration in navigating AI workflows.

AI Learning and Resources

AI Infrastructure OverviewThe discussion shifts to personal AI setups and the balance between local and cloud-based development environments. Daniel Whitenack and Chris Benson share insights on their preferences and the practicalities of AI infrastructure choices.

AI Infrastructure Overview

AI Workflow and ToolsThe discussion shifts to model development tools, deployment strategies, and automation in AI infrastructure. Chris Benson and Daniel Whitenack explore the spectrum of tools and techniques essential for efficient AI model creation and deployment.

AI Workflow and Tools

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