How can I effectively scale my ML startup?
An example of an AI chatbot conversation about scaling ML startups.
How can I effectively scale my ML startup?
Scaling an ML startup involves optimizing your algorithms, expanding your data sources, and building a robust infrastructure. What specific challenges are you facing?
I'm struggling with data management and processing speed.
Consider using cloud services for data storage and processing. Tools like AWS or Google Cloud can help you scale efficiently. Have you explored any specific platforms?
I've looked into AWS, but I'm not sure how to implement it.
AWS offers various services like S3 for storage and EC2 for computing. I can guide you through setting up a basic architecture if you'd like.
Yes, that would be great! What are the first steps?
First, create an AWS account and set up an S3 bucket for your data. Then, we can move on to configuring EC2 instances for processing.
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