https://github.com/davidsajare/david-share.git
欢迎给repo点亮Star，您的点赞是作者持续创作的动力。
盘点一下7月份在github提交的代码和文章。
H100学习笔记：2022年的学习笔记，目前看内容正当时。主要是因为这两年NV卡卖得好。
下面的内容，冒号左边是内容标题，右边是所在目录：
2. Phi3 RAG: LLMs
3.Phi3-Quantization-and-Fine-Tuning: Deep-Learning
4.Florence2 applications in multiple CV scenarios and Fine Tuning: Multimodal Models
5.graphrag configure and validation: LLMs
6.NVIDIA GPUs running distributed training/NVIDIA GPU运行分布式训练: GPUs
7.Florence2 applications in multiple CV scenarios: Multimodal Models
8.Calculate Model Memory consumption in Training and Inference: Deep Learning
8.E2E Fine tuning with Axolotl and Inference with vLLM: Deep Learning
