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Software · head to head

Azure Machine Learning vs ChatGPT

Azure Machine Learning logo

Azure Machine Learning

Software

Enterprise-grade machine learning service

From
Free
Rated
-
ChatGPT logo

ChatGPT

Software

AI-powered conversational assistant for productivity and creativity

From
Free
Rated
-

The short version

  • Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; ChatGPT openAI's own pricing page, as captured by the Internet Archive in 2023, listed ChatGPT Plus at $20 per user per month, Team at $25 to $30 per user per month with a minimum of 2 users, and Enterprise available only from 150 users. The live page refuses automated reads, so these are 2023 figures and the tiers have changed since.
  • They diverge on capability: Azure Machine Learning covers Automated ML, ChatGPT covers Natural language conversation.

Where they differ

Only the attributes on which Azure Machine Learning and ChatGPT actually diverge.

Attributes where Azure Machine Learning and ChatGPT differ
AttributeAzure Machine LearningChatGPT
Pricing modelusage-basedfreemium
PlatformsAzure CloudWeb, Ios, Android, Api
Founded19752015

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • MLOps
  • Model registry
  • Azure Blob Storage
  • Azure DevOps
  • Power BI

Only in ChatGPT

  • Natural language conversation
  • Code generation and debugging
  • Text analysis and summarization
  • Creative writing assistance
  • Math and problem solving
  • Language translation
  • Research assistance
  • Image generation (DALL-E)

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Azure Machine Learning

  • Machine learningnot ChatGPT
  • Data analysisnot ChatGPT
  • Model trainingnot ChatGPT
  • Predictive analyticsnot ChatGPT

ChatGPT

  • Content creationnot Azure Machine Learning
  • Code assistancenot Azure Machine Learning
  • Research and analysisnot Azure Machine Learning
  • Learning and educationnot Azure Machine Learning
  • Creative writingnot Azure Machine Learning

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Azure Machine Learning

  • Requires knowledge of Azure ecosystem and integration with other Azure services
  • Compute resources for training and inference generate separate charges

ChatGPT

  • OpenAI's own pricing page, as captured by the Internet Archive in 2023, listed ChatGPT Plus at $20 per user per month, Team at $25 to $30 per user per month with a minimum of 2 users, and Enterprise available only from 150 users. The live page refuses automated reads, so these are 2023 figures and the tiers have changed since.

Pricing, plan by plan

Azure Machine Learning

Free
  • Free TierFree
    • Limited compute
    • Basic features
  • Pay-as-you-go$0.05/hour
    • Full platform
    • All compute options
    • Enterprise features

ChatGPT

Free
  • FreeFree
    • Access to GPT-3.5
    • Standard response speed
    • Regular model updates
  • ChatGPT Plus$20/month
    • Access to GPT-4
    • Faster response times
    • Priority access during peak times

Which should you pick?

Choose Azure Machine Learning if

  • You need automated ml.
  • You want to start without paying.
  • You work on Azure Cloud.
  • You also want designer (drag-and-drop).

Choose ChatGPT if

  • You need natural language conversation.
  • You want to start without paying.
  • You work on Web, Ios, Android, Api.
  • You also want code generation and debugging.

Questions people ask

Is Azure Machine Learning or ChatGPT better?
Neither clearly leads. Azure Machine Learning starts at Free and ChatGPT at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Machine Learning or ChatGPT?
Azure Machine Learning starts at Free and ChatGPT at Free.
Does Azure Machine Learning or ChatGPT run on more platforms?
Azure Machine Learning runs on Azure Cloud. ChatGPT runs on Web, Ios, Android, Api.
Can I use Azure Machine Learning for free?
Both have a free tier, so you can try either at no cost before committing.
What is Azure Machine Learning best used for?
Azure Machine Learning is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what ChatGPT is typically brought in for.
What can Azure Machine Learning do that ChatGPT cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. ChatGPT covers Natural language conversation, Code generation and debugging, Text analysis and summarization, Creative writing assistance. Both handle Web support.

Answered from the vendors’ own pages

Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?

No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.

Source
Azure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?

Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.

Source
Azure Machine Learning: Does Azure ML support language model fine-tuning?

Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.

Source
Azure Machine Learning: What MLOps features are included?

Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.

Source
Azure Machine Learning: Can I access foundation models from multiple vendors?

Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.

Source

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