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Explora todas las tecnologías del grafo por tipo y categoría.
Por tipo
Por categoría
- Algoritmos 30
- Modelos 16
- Modelos de embedding 8
- Técnicas 35
- Prompting 10
- Frameworks 12
- Frameworks de LLM 6
- Bases de datos 3
- Bases de datos vectoriales 8
- Motores de búsqueda 4
- Infraestructura 15
- MLOps 4
- Evaluación 6
- Hardware 11
- Seguridad y alineación 6
- Aplicaciones 7
- Multimodal 5
- Agentes de IA 4
- Benchmarks 11
- Conjuntos de datos 7
10 technologies shown
- Function Calling technique Letting a model request a tool by name with structured arguments.
- In-Context Learning concept A model performing a task from examples in the prompt, with no weight update.
- Zero-Shot concept Performing a task with no examples and no training for it.
- Prompt Engineering technique Shaping a model's instructions and context to get the output you actually want.
- Context Engineering technique Deciding what goes into the context window, not just how it is worded.
- Few-Shot Learning technique Putting examples in the prompt instead of training on them.
- Self-Consistency technique Sampling several reasoning paths and taking the majority answer.
- Structured Output technique Constraining a model to emit valid JSON or a schema-conforming object.
- Chain of Thought technique Prompting a model to reason step by step before answering.
- Tree of Thoughts technique Searching over intermediate reasoning states instead of one linear chain.