Explore the AI Technology Graph
Discover how AI technologies, models, frameworks and tools are connected.
技术分类
- 算法 30 technologies
- 模型 16 technologies
- 嵌入模型 8 technologies
- 技法 35 technologies
- 提示工程 10 technologies
- 框架 12 technologies
- LLM 框架 6 technologies
- 数据库 3 technologies
- 向量数据库 8 technologies
- 搜索引擎 4 technologies
- 基础设施 15 technologies
- MLOps 4 technologies
- 评估 6 technologies
- 硬件 11 technologies
- 安全与对齐 6 technologies
- 应用 7 technologies
- 多模态 5 technologies
- AI 智能体 4 technologies
- 基准测试 11 technologies
- 数据集 7 technologies
热门技术
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Transformer
architecture
Attention-based neural architecture that replaced recurrence with self-attention.
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RAG
technique
Retrieval-Augmented Generation: ground a model answer in documents fetched at query time.
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LLM
concept
Large language model: a Transformer trained on text at a scale that yields general capability.
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GPT
model
Family of decoder-only Transformer language models trained with a generative objective.
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Qdrant
database
Open-source vector database written in Rust, with payload filtering.
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LangChain
framework
Framework for composing language models with retrieval, tools and memory.
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Embedding
concept
Dense numeric vector representing the meaning of a piece of text.
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Attention
concept
Mechanism that weights each part of an input by its relevance to every other part.
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GPU
hardware
A processor built for massive parallelism, which is what neural network maths needs.
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从模型层一路向下到正在运行的应用。