Prompting is the technique of presenting a concise piece of text or information to LLMs to instruct them on the task at hand. By adequately feeding the LLMs information about the task, input data, and contextual specifics, we can guide their output towards the desired result.
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A recently prompting approach proposes to ask LLMs to respond as an expert. It involves 3 different steps: * Ask LLM to identify experts in a given field related to the prompt/question * Ask LLM to respond to the question as if it was each of the experts * Make final decision
Here are 10 prompts that professors can use to instruct undergraduate students in Machine Learning over the course of 3 months: 1. Prompt 1: "I want you to act as a machine learning instructor for beginners. Start by explaining what Machine Learning is, how it works, and why it&
To use large language models (LLMs) like ChatGPT or GPT-4 effectively, professors can follow these steps: 1. Understand the Technology: The first step is understanding how these AI models work. Familiarize yourself with the capabilities and limitations of LLMs. Explore OpenAI's documentation and resources to get started. 2.
Optimizing prompts can greatly improve the outcomes when using language models like ChatGPT or GPT-4. Here are some ways an engineering college professor can use this strategy: Teaching Process:To enhance their teaching process, professors can create prompts that ask ChatGPT to explain complex concepts in simple terms or provide
Using AI tools such as ChatGPT can indeed help faculty members streamline their tasks and enhance the educational process. Here are a few ways they can utilize ChatGPT in their day-to-day activities: 1. Teaching Assistant: ChatGPT can be utilized as a virtual teaching assistant. It can handle common student questions