主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)

A generative speech model for daily dialogue.

大模型算法岗面试题(含答案):常见问题和概念解析 "大模型面试题"、"算法岗面试"、"面试常见问题"、"大模型算法面试"、"大模型应用基础"

[CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"

中国大模型

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & V…

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

This repository contains the source code for the paper First Order Motion Model for Image Animation

Lifespan Age Transformation Synthesis code

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

Llama3、Llama3.1 中文仓库（随书籍撰写中... 各种网友及厂商微调、魔改版本有趣权重 & 训练、推理、评测、部署教程视频 & 文档）

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.

[ECCV 2022] Implementation of the paper "Locality Guidance for Improving Vision Transformers on Tiny Datasets"

[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation

Overview and tutorial of the LangChain Library

Inference code for Llama models

😎 Awesome list of tools and projects with the awesome LangChain framework

PyTorch code and checkpoints release for OFA-KD: https://arxiv.org/abs/2310.19444

LLM&VLM Tutorial

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…

CVPR 2023, Class Attention Transfer Based Knowledge Distillation

Explainability for Vision Transformers

This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥

offical code for: Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI 2023.

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)

Improving Convolutional Networks via Attention Transfer (ICLR 2017)