Concepts
Clear and contextual definitions of AI terms every product manager should know. Each concept includes an in-depth explanation with real cases and references.
SWE-Bench
A benchmark that evaluates the ability of AI models to solve real issues from open-source repositories, measuring practical software enginee...
READ DEFINITION → EVALUATIONEvals
A set of techniques and datasets to evaluate the quality, safety, and capability of AI models on specific tasks....
READ DEFINITION →Model Distillation
A technique to train a smaller model from the outputs of a larger model, preserving capability for a specific task at a fraction of the infe...
READ DEFINITION → TECHNICALRAG (Retrieval-Augmented Generation)
A technique that combines information retrieval with text generation, allowing LLMs to use external knowledge without retraining the model....
READ DEFINITION → TECHNICALMCP (Model Context Protocol)
An open protocol that standardizes how AI models connect to external data sources and tools, simplifying agent integrations....
READ DEFINITION → TECHNICALTool Calling
The ability of an LLM to invoke external functions (APIs, tools) in a structured way, allowing the model to execute real-world actions....
READ DEFINITION → TECHNICALAI Inference
The process of using a trained model to generate outputs from new inputs. It is the phase that consumes computational resources in productio...
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