5. Heterogeneous computing _ "3, AI algorithm optimization"
It refers to using different types of processors to handle diverse AI workloads to improve overall computing efficiency. This approach...
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Oct 161 min read
4. Efficient image & video architecture_"3, AI algorithm optimization"
Efficient image & video architecture Refers to the design of smaller neural networks with performance equal to or better than the...
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Oct 161 min read
3. Speculative Decoding "3. AI Algorithm Optimization"
Speculative decoding is a technique that combines large models with draft models to improve token generation speed. This method is...
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Oct 161 min read
2. Quantization & Compression "3. AI Algorithm Optimization"
By reducing the bit precision of models, storage and computational demands can be decreased while maintaining the required accuracy. This...
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Oct 161 min read
1. Distillation_ "3, AI algorithm optimization"
Distillation Transferring knowledge learned from a large, complex model (often called the teacher model) to a smaller, simpler model...
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