When you're dealing with Large Language Models (LLMs) like ChatGPT from OpenAI, dynamically generating prompts based on different use-cases becomes essential.
Whether you're new to programming or just new to Python, this blog post will guide you through the basics needed to query APIs, with a focus on querying language models like OpenAI's ChatGPT.
Welcome back to datascience.fm, where we continuously bring the latest tools and techniques in the realm of data science to your fingertips. Today, we delve into the world of chatbots, specifically focusing on OpenAI's ChatGPT, a variant of the famous GPT-3 model tailored for conversational AI.
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