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AI & LLM

Few-shot Learning

An AI model's ability to learn new tasks from just a few examples provided in the prompt or context.

Understanding Few-shot Learning

Few-shot learning enables AI to adapt its behavior based on examples given in the conversation. Users often provide examples when asking AI about products or services. For AI visibility, this means your content should include clear examples, use cases, and patterns that help AI understand how to talk about your brand correctly when users provide context.

Related Resources

Related Terms

Prompt EngineeringChain of ThoughtZero-shot Learning

Helpful Checklists

AI SEO Audit ChecklistChatGPT Optimization ChecklistStructured Data Implementation ChecklistProgrammatic SEO Launch Checklist

Templates

Robots.txt for AI Crawlersllms.txt File TemplateOrganization Schema (JSON-LD)Article Schema (JSON-LD)

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AI AgentAI CrawlersAI HallucinationAI SEOAI VisibilityChain of ThoughtCitation AuthorityContext WindowE-E-A-TEmbeddingsFine-tuningGroundingInferenceJSON-LDLLM OptimizationMultimodal AIProgrammatic SEOPrompt EngineeringRAG (Retrieval-Augmented Generation)Robots.txtSemantic HTMLStructured DataTokenizationTopical AuthorityVector SearchZero-shot Learning