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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.