Explore the AI Technology Graph
Discover how AI technologies, models, frameworks and tools are connected.
Catégories de technologies
- Algorithmes 30 technologies
- Modèles 16 technologies
- Modèles d'embedding 8 technologies
- Techniques 35 technologies
- Prompting 10 technologies
- Frameworks 12 technologies
- Frameworks LLM 6 technologies
- Bases de données 3 technologies
- Bases de données vectorielles 8 technologies
- Moteurs de recherche 4 technologies
- Infrastructure 15 technologies
- MLOps 4 technologies
- Évaluation 6 technologies
- Matériel 11 technologies
- Sécurité et alignement 6 technologies
- Applications 7 technologies
- Multimodal 5 technologies
- Agents IA 4 technologies
- Benchmarks 11 technologies
- Jeux de données 7 technologies
Technologies populaires
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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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