What are common optimization techniques to reduce inference latency in production for large language models?

Beginners
1

How can developers make large AI models respond faster when used in real-world applications?

1 Like
2

While various techniques and algorithms exist, choosing a fast backend is crucial in practice. Bottleneck processes are rewritten in a language faster than Python and incorporates various optimizations. Model weights for Transformers are often directly reusable.