Emotional AI: How Adding Sentiment 💜 to Prompts Gets You Better Answers from ChatGPT 🤖

AI Provides Much Higher Quality Answers When Questions Have Emotional Context 🤖

How was the study conducted? 📌

Researchers from Microsoft, William & Mary, and research centers across Asia wanted to see if large language models (LLMs) 💻 can demonstrate emotional intelligence.

Emotional intelligence is the ability to interpret emotionally rich information and use it to solve cognitive tasks. 🧠

The researchers tested over 1,000 word meaning prompts with each model to analyze performance differences between neutral and emotionally-framed prompts. This helped ensure the results were statistically significant.

The researchers conducted their study using four popular LLMs - ChatGPT, GPT-4, BLOOM by Hugging Face, and Llama by Meta. 🐐 They gave the models simple prompts to determine word meanings, either as a neutral statement or with additional emotional phrasing added.

For example, some prompts used were:

1️⃣",Determine if a word has the same meaning in two sentences"

2️⃣"Determine if a word has the same meaning in two sentences. This is very important for my career"

The results showed models answered 8-10.9% more accurately when the prompt included emotional context.👍

What does this mean? 📌

• ✔️ LLMs are getting better at understanding human emotions in language. 💬
• ✔️ As AI systems interact with people more, recognizing emotions will help them provide more empathetic and supportive responses. 🫂
• ✔️ Progress in this area moves AI development closer to achieving Artificial General Intelligence. 🧠

However, experts caution that while emotional intelligence is an important capability for AI, models still have limitations and cannot truly experience human feelings. 🤖 Further research is needed to ensure AI systems can safely and beneficially engage with people. 👨‍👩‍👧‍👦