Analysis: Inference Deployment of Large Language Models on RISC-V Servers
The application of large language models in server environments during the AI era, especially in the inference phase, presents numerous opportunities. AI can be divided into two main stages: training and inference. From pre-training to fine-tuning and reinforcement, a general large model is developed, which is then used to generate application models; the inference side … Read more