最新博客文章
4 / 200AI 开发实战教程，从零到一构建你的 AI 应用。
All200
Beginner32
Intermediate92
Advanced76
All
Prompt Engineering12
RAG Retrieval Augmented17
Agent Development34
Model Fine-tuning21
Deployment and Operations25
AI Application Development40
DeepSeek API16
Multimodal Development6
AI Safety6
Model Inference3
Retrieval Systems1
RAG Retrieval1
Model Architecture3
API Development1
Agent Development10
Model Deployment1
Multimodal1
Model Evaluation2
Tutorial
Date
Multimodal Agent in Practice: Vision-Driven Automated Operations
Multimodal Development
Advanced
When agents can 'see' screens and images, the boundaries of automation are greatly expanded. This article explains the architecture design of multimodal agents, screenshot understanding, UI element positioning, and complete implementation of action execution, with runnable code.
Multimodal Model Architecture: Vision Encoders, Projection Layers, and Modality Alignment
Multimodal Development
Advanced
How does a vision-language model turn an image into tokens it can talk about? Following the data flow, this guide weighs CNN against ViT encoders, resolution against the visual token budget, and linear, MLP and query-based projection layers, then explains what visual alignment pretraining, instruction tuning and preference optimization each learn.
World Models and Embodied AI: Technical Routes and Engineering Challenges
Multimodal Development
Advanced
A world model lets a robot rehearse the consequences of an action before taking it. This article compares representational, generative, and latent-space prediction routes, then digs into metric versus topological 3D representation, error that accumulates faster than linearly over long horizons, and the cost of real robot data.
Multimodal Document Understanding: From Layout Parsing to Semantic Retrieval
Multimodal Development
Advanced
Document understanding is neither OCR nor feeding images to a multimodal model. Following the real pipeline order: where the classic four-stage pipeline splits from the end-to-end image reader, restoring tables with merged cells, whether a chart becomes data or a question, which stage breaks first on a degraded scan, and how layout-level and end-to-end metrics differ.
