1 min readfrom Towards Data Science

Optimizing Token Generation in PyTorch Decoder Models

Optimizing Token Generation in PyTorch Decoder Models

Hiding host-device synchronization via CUDA stream interleaving

The post Optimizing Token Generation in PyTorch Decoder Models appeared first on Towards Data Science.

Want to read more?

Check out the full article on the original site

View original article

Tagged with

#AI formula generation techniques
#big data management in spreadsheets
#generative AI for data analysis
#conversational data analysis
#rows.com
#Excel alternatives for data analysis
#real-time data collaboration
#intelligent data visualization
#Token Generation
#PyTorch
#Decoder Models
#CUDA
#host-device synchronization
#stream interleaving
#optimization
#machine learning
#deep learning
#parallel computation
#GPU computing
#neural networks