2023-05-13_on-device-ai-double-edged-sword
Canonical Target Counts
| Target | Occurrences |
|---|
| 02_companies/GOOG | 10 |
| 04_knowledge_base/Sparsity | 6 |
| 02_companies/AAPL | 6 |
| 04_knowledge_base/GPU | 5 |
| 02_companies/AMD | 5 |
| 04_knowledge_base/Batch size | 5 |
| 04_knowledge_base/Quantization | 4 |
| 04_knowledge_base/Pruning | 4 |
| 04_knowledge_base/FP16 | 4 |
| 04_knowledge_base/KV cache | 3 |
| 04_knowledge_base/Large language model | 3 |
| 04_knowledge_base/DRAM | 3 |
| 02_companies/INTC | 3 |
| 04_knowledge_base/GPT-4 | 3 |
| 04_knowledge_base/SRAM | 2 |
| 02_companies/META | 2 |
| 02_companies/OpenAI | 2 |
| 04_knowledge_base/NAND Flash | 2 |
| 04_knowledge_base/Mixture of Experts | 2 |
| 04_knowledge_base/3nm | 2 |
| 04_knowledge_base/CPU | 2 |
| 04_knowledge_base/SSD | 2 |
| 02_companies/NVDA | 1 |
| 02_companies/QCOM | 1 |
| 04_knowledge_base/AI Accelerator | 1 |
| 04_knowledge_base/3D integration | 1 |
| 04_knowledge_base/SoC | 1 |
| 02_companies/Baidu | 1 |
| 04_knowledge_base/Foundation models | 1 |
| 04_knowledge_base/LPDDR | 1 |
| 02_companies/ByteDance | 1 |
| 04_knowledge_base/H100 | 1 |
| 04_knowledge_base/MRAM | 1 |
| 04_knowledge_base/FP8 | 1 |
| 04_knowledge_base/FP4 | 1 |
| 04_knowledge_base/HBM | 1 |
| 02_companies/MediaTek | 1 |
| 04_knowledge_base/LPDDR5X | 1 |
| 02_companies/2330 台積電 | 1 |
| 04_knowledge_base/Moore’s Law | 1 |
| 04_knowledge_base/DDR | 1 |
| 04_knowledge_base/BF16 | 1 |
| 04_knowledge_base/GPT-3 | 1 |
| 04_knowledge_base/Emerging Memory | 1 |
| 04_knowledge_base/FeRAM | 1 |
| 04_knowledge_base/Transistor | 1 |
| 04_knowledge_base/TPU | 1 |
| 04_knowledge_base/TPUv5 | 1 |
| 04_knowledge_base/2nm | 1 |