多模态 AI & 计算机视觉大模型高频面试题集（2024-2025 最新版）
Multimodal AI & Vision Large Model High-Frequency Interview Questions Collection (2024-2025 Latest Edition)
🚀 掌握前沿 AI 面试核心，助你轻松通关！
本书汇总了 2024-2025 年最前沿、最高频的 多模态 AI 和计算机视觉大模型 面试问题，涵盖 多模态大模型（MLLMs）、计算机视觉基础模型（VFMs）、视觉增强的 NLP、多模态检索、计算效率优化及 AI 可靠性 等热门领域。
📌 核心内容包括：
✅ 多模态大模型（MLLMs）——跨模态对齐、GPT-4o、Flamingo、Gemini 1.5、LLaVA-Next 及 MoE 结构的优化
✅ 计算机视觉基础模型（VFMs）——CLIP、DINOv2、SAM、SEEM、HQ-SAM、OmniVL、InternVideo、InternVL
✅ 多模态表示学习——CLIP vs. ALIGN、多模态嵌入优化、跨模态任务对齐、模态缺失鲁棒推理
✅ 视觉增强的 NLP——视觉增强的 LLM、图文生成、OCR、多模态推理在科学研究中的应用
✅ 多模态检索——Text-to-Image & Text-to-Video Retrieval、跨模态索引、RAG（检索增强生成）结合
✅ 计算效率优化——Flash Attention、LoRA、模型剪枝、量化推理、端到端多模态训练
✅ AI 可靠性与安全——幻觉（Hallucination）、偏见（Bias）、对抗攻击（Adversarial Attacks）、深度伪造（Deepfake）检测
本书适用于 AI 研究人员、机器学习工程师、数据科学家及希望深入了解多模态 AI 的求职者，帮助你掌握前沿知识，轻松通过技术面试！📖
🚀 Master Cutting-Edge AI Interview Questions with Ease!
This book compiles the most cutting-edge and high-frequency Multimodal AI & Vision Large Model interview questions from 2024-2025, covering Multimodal Large Models (MLLMs), Vision Foundation Models (VFMs), Vision-Enhanced NLP, Multimodal Retrieval, Computational Efficiency Optimization, and AI Safety & Trustworthiness.
📌 Key Topics Covered:
✅ Multimodal Large Models (MLLMs) – Multimodal alignment, GPT-4o, Flamingo, Gemini 1.5, LLaVA-Next, and MoE optimization
✅ Vision Foundation Models (VFMs) – CLIP, DINOv2, SAM, SEEM, HQ-SAM, OmniVL, InternVideo, InternVL
✅ Multimodal Representation Learning – CLIP vs. ALIGN, multimodal embedding optimization, cross-modal task alignment, robust inference under missing modalities
✅ Vision-Enhanced NLP – Vision-enhanced LLMs, text-image generation, OCR, multimodal reasoning in scientific research
✅ Multimodal Retrieval – Text-to-Image & Text-to-Video Retrieval, cross-modal indexing, integration with RAG (Retrieval-Augmented Generation)
✅ Computational Efficiency Optimization – Flash Attention, LoRA, model pruning, quantized inference, end-to-end multimodal training
✅ AI Safety & Trustworthiness – Hallucinations, Bias, Adversarial Attacks, Deepfake detection
Designed for AI researchers, machine learning engineers, data scientists, and job seekers preparing for multimodal AI interviews, this book helps you master key concepts and ace technical interviews! 📖