When should I use model parallelism in AI?
An example of an AI chatbot conversation about when to use model parallelism in AI.
When should I use model parallelism in AI?
Model parallelism is useful when your model is too large to fit into a single GPU's memory.
Can you give me an example of a scenario where it's necessary?
Sure! For instance, training large transformer models like GPT-3 often requires model parallelism.
What are the benefits of using model parallelism?
It allows you to leverage multiple GPUs, improving training speed and enabling larger models.
Are there any downsides to using model parallelism?
Yes, it can introduce complexity in model management and communication overhead between GPUs.
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