Chain-of-Thought (CoT)A prompting approach where the model reasons step by step before giving a final answer.3 Apr 2026promptingreasoningtechnique
EmbeddingsA way of representing text as numbers so a computer can work with meaning, not just characters.3 Apr 2026vectorsconcepttechnique
Fine-TuningTraining an existing model on new data to change its behaviour.3 Apr 2026trainingtechniquemodels
In-Context LearningTeaching a model how to behave by giving examples in the prompt itself, without changing any weights.3 Apr 2026promptingtechniqueconcept
Prompt EngineeringThe practice of crafting inputs to get better outputs from a model.3 Apr 2026promptingtechniqueconcept
QuantizationCompressing a model by reducing the precision of its numbers.3 Apr 2026performanceinfrastructuretechnique
Reinforcement Learning from Human Feedback (RLHF)A training method where humans rate model outputs to guide the model toward better behaviour.3 Apr 2026trainingsafetytechnique
TemperatureA parameter that controls how random model outputs are.3 Apr 2026conceptpromptingtechnique
Vibe CodingWriting software by describing what you want to an AI and iterating on the output.3 Apr 2026techniqueagentstooling
Zero-ShotAsking a model to do something without any examples in the prompt.3 Apr 2026promptingtechniqueconcept