<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM Applications on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/llm-applications/</link><description>Recent content in LLM Applications on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/llm-applications/index.xml" rel="self" type="application/rss+xml"/><item><title>Zero-Shot Prompting</title><link>https://terms-en.ai-term-hub.com/en/terms/zero_shot_prompting/</link><pubDate>Sat, 18 Jul 2026 10:20:18 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/zero_shot_prompting/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Zero-shot prompting involves asking a pre-trained language model to complete a task directly via a textual prompt, without providing any few-shot examples or performing additional fine-tuning. The model leverages its extensive pre-training knowledge to infer the task requirements from the instruction alone. This approach highlights the emergent capabilities of large models, allowing for flexible task adaptation across domains like summarization, classification, and generation with minimal overhead.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A technique where large language models perform tasks without prior examples or fine-tuning, relying solely on natural language instructions.&lt;/p></description></item></channel></rss>