Breakthroughs in Large Model Quantization Algorithms
As large language model parameters continue to scale up, advanced quantization algorithms have become a critical technic…
🏷️ Model Quantization
5 articles about 'Model Quantization'
Google Releases TurboQuant: A New Efficient KV Cache Compression Solution
Google has launched the TurboQuant algorithm suite and open-source library, focused on advanced quantization and compres…
The Real Challenges of Self-Hosting LLMs — and How to Overcome Them
When enterprises seriously deploy self-hosted LLMs, the operational friction never mentioned in benchmarks and tech blog…
Breakthrough in Satellite-Based Edge AI: Low-Precision-Aware NAS Achieves Deployment Alignment
A latest arXiv paper proposes a deployment-aligned low-precision neural architecture search method for satellite-based e…
NVIDIA Jetson Memory Optimization: Running Larger AI Models at the Edge
As open-source generative AI models expand from data centers to edge devices, NVIDIA introduces memory optimization stra…
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