FAQ file for TorchRec #3222
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FAQ file for TorchRec #3222
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Summary: docs: Add FAQ for TorchRec This commit introduces a new FAQ.md file to address common questions regarding TorchRec for large model and embedding training. The FAQ covers: - General concepts and use cases for TorchRec and FSDP. - Sharding strategies and distributed training in TorchRec. - Memory management and performance optimization for large embedding tables. - Integration with existing systems. - Common technical challenges encountered by users. - Best practices for model design and evaluation. The goal is to provide a comprehensive resource for users facing challenges with large-scale recommendation systems and distributed training, improving clarity and reducing common pain points. Differential Revision: D78769752
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Summary:
docs: Add FAQ for TorchRec
This commit introduces a new FAQ.md file to address common questions regarding TorchRec for large model and embedding training.
The FAQ covers:
The goal is to provide a comprehensive resource for users facing challenges with large-scale recommendation systems and distributed training, improving clarity and reducing common pain points.
Differential Revision: D78769752