Tropical engineer 👨‍💻🌴

In today's digital age, the capabilities and intricacies of AI have captured the imagination of many. While several might have chatted with ChatGPT-4, few have dived deep into understanding its contextual behaviors. Today, I’m peeling back the curtain, sharing some insights I’ve garnered from my hands-on experience with this cutting-edge model.

1. The Importance of Context
Every conversation with ChatGPT-4 relies on context. Imagine it as the model's short-term memory. It can keep track of approximately 32,000 tokens (words, spaces, and punctuation). This context window ensures the AI provides relevant responses. However, the emphasis is often on the most recent inputs. Why? Because the latest inputs often contain the most relevant details for a meaningful response.

2. Prioritization of Recent Inputs
Have you ever felt like ChatGPT pays more attention to your recent messages over the older ones? You're spot on! The model, while having access to the entire dialogue within the context window, gives a slight preference to newer information. This is a reflection of real-world conversational dynamics, where we often respond more to what was said last.

3. The Art of Prompt Engineering
A unique skill set I've honed is 'prompt engineering'. It's the craft of carefully designing questions or prompts to extract specific and desired outputs from AI. In many ways, it's akin to learning a new language—the language of AI communication. By mastering this, you can guide ChatGPT-4 to provide even more accurate and nuanced responses.

Final Thoughts
As AI becomes an increasingly integral part of our daily lives, understanding its mechanisms is crucial. My journey with ChatGPT-4 and prompt engineering has been both challenging and rewarding. And while I've shared just the tip of the iceberg today, I hope it sparks your interest in the vast ocean of AI potential.
#chatgpt #ContextCompression #promptengineering

Posting from:
🇻🇳 Vietnam, Mui Ne, Impresso co-working space
☁️🌧️ 29° C