文件内容:
file:13_4-模型训练过程_ev.mp4
file:87_1-BEV要解决的问题通俗解读_ev.mp4
file:22_1-大模型如何做下游任务_ev.mp4
file:45_9-总结分析_ev.mp4
file:77_4-codebook模块的作用_ev.mp4
file:1_课程简介_ev.mp4
file:72_3-Simclr框架流程分析_ev.mp4
file:67_3-源码公式对应论文分析_ev.mp4
file:33_2-基本API调用方法_ev.mp4
file:75_2-任务训练目标分析_ev.mp4
file:49_4-答案关注区域分析_ev.mp4
file:第一章：GPT系列.pdf
file:LLAVA_YOLO.rar
file:第二章：ChinesePretrainedModels.zip
file:segment-anything-2-main.zip
file:SAM2.pdf
file:BEiT v2.pdf
file:langchain-tutorials-main.zip
file:Huatuo-Llama-Med-Chinese-main.zip
file:mmselfsup-1.x.zip
file:From Images to Textual Prompts.pdf
file:beit.pdf
file:大模型.pdf
file:GPT系列.pdf
file:dalle2.pdf
file:BEV特征空间bevformer.mp4
file:annotated_diffusion.ipynb
file:rag.zip
file:Chinese-LLaMA-Alpaca-3-main.zip
file:LLAMA3.docx
file:对比学习.pdf
file:BEV.pdf
file:DALLE2-pytorch-main.zip
file:SAM.pdf
file:segment-anything-main.rar