Code Generation
Training models on large code corpora to improve generation accuracy and speed.
Result: Higher accuracy (95%) on code tasks compared to single-token prediction baselines.
Efficient Large Language Model Training
Incorporating MTP into training pipelines to densify training signals and improve data efficiency.
Result: Improved benchmark performance and training efficiency.
Faster Inference via Speculative Decoding
Using MTP-enabled models like GLM-4.5 to perform speculative decoding during inference.
Result: Reduced inference latency.