What is distributed computing in AI?
An example of an AI chatbot conversation about distributed computing in AI.
What is distributed computing in AI?
Distributed computing in AI refers to the use of multiple computers to process data and run algorithms simultaneously, improving efficiency.
How does it improve the performance of AI models?
It allows for parallel processing, which speeds up training times and enables handling larger datasets that wouldn't fit on a single machine.
Can you give me an example of distributed computing in AI?
Sure! One example is using cloud computing platforms like AWS or Google Cloud to train deep learning models across multiple servers.
What are the challenges of implementing distributed computing in AI?
Some challenges include network latency, data synchronization, and ensuring fault tolerance across distributed systems.
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