This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.
The Chosun Ilbo on MSN
Stanford computer science classes prioritize communication over code in AI era
On the 15th, local time, in a Stanford University Department of Computer Science (Computer Science) AI (Artificial ...
Abstract: Recent studies proposed to leverage large language models (LLMs) with In-Context Learning (ICL) to handle code intelligence tasks without fine-tuning. ICL employs task instructions and a set ...
Abstract: The Mixture of Experts (MoE) model is a promising approach for handling code-switching speech recognition (CS-ASR) tasks. However, the existing CS-ASR work on MoE has yet to leverage the ...
If you just want to use MIR as the pre-training indicator of your own model, no additional environment is required. python mir.py --model_path PATH/TO/MODEL --base_llm PATH/TO/LLM --text_data_path ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results