What is Few-Shot Prompting?
A prompting method where models are shown a small number of examples to guide their outputs for new tasks.
More about Few-Shot Prompting:
Few-Shot Prompting is a technique where an LLM is given a handful of example inputs and outputs within its prompt, helping it learn the desired pattern, style, or logic for a new task. Few-shot prompting is foundational for chain-of-thought reasoning, system prompts, and on-the-fly model adaptation.
It’s especially useful for zero-code configuration and when large amounts of training data aren’t available.
Frequently Asked Questions
How is few-shot prompting different from fine-tuning?
Few-shot prompting adapts behavior at inference time with prompt examples, while fine-tuning requires model retraining.
What types of tasks benefit from few-shot prompting?
Tasks like code generation, dialogue, math problems, and language translation.
From the blog

Revolutionizing University Engagement with AI Chatbots: A Look at SiteSpeakAI
Explore how universities are leveraging AI chatbots to enhance student engagement and streamline administrative tasks. Discover SiteSpeakAI, a tool that trains chatbots on website content to answer visitor queries.

Herman Schutte
Founder

Unleashing the Power of AI: Adding a ChatGPT Chatbot to Your Website
An AI chatbot can serve as a dynamic tool to improve your site's user experience by providing instant, accurate responses to your visitors' queries. However, not all chatbots are created equal.

Herman Schutte
Founder