Explorer
Parcourez toutes les technologies du graphe par type et par catégorie.
Par type
Par catégorie
- Algorithmes 30
- Modèles 16
- Modèles d'embedding 8
- Techniques 35
- Prompting 10
- Frameworks 12
- Frameworks LLM 6
- Bases de données 3
- Bases de données vectorielles 8
- Moteurs de recherche 4
- Infrastructure 15
- MLOps 4
- Évaluation 6
- Matériel 11
- Sécurité et alignement 6
- Applications 7
- Multimodal 5
- Agents IA 4
- Benchmarks 11
- Jeux de données 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.