Now we will discuss the end-to-end prompt engineering process via articles written
📄️ 🟢 Multiple Choice Questions
Let's use GPT to solve an LSAT question!
📄️ 🟢 Solve Discussion Questions
With the right prompting, GPT-3 is very capable of writing short form responses. To demonstrate this, I will be looking at solving discussion questions, a common weekly assignment in many college courses. A response to a discussion question is usually about 100-700 words. Longer content can a be bit more tricky as LLMs have limited memory and have difficulty understanding the global picture of what they are writing(@jin2022plot).
📄️ 🟢 Build ChatGPT from GPT-3
📄️ 🟢 Chatbot + Knowledge Base
Recent advancements in large language models (LLMs) such as GPT-3 and ChatGPT have created a lot of buzz in the tech industry. These models are incredibly powerful for content generation, but they also have some downsides such as bias(@nadeem-etal-2021-stereoset) and hallucinations(@Ji_2022). One area in which these LLMs can be particularly useful is chatbot development.