#30 - Greetings from Stresa š®š¹ & The Art of Asking
Is How We Communicate with LLMs Today the Right Way?
#beyondAI
I know I should relax and enjoy my vacation as promised. But I do feel relaxed in this moment. A weird sense of relaxation, not yet consciously perceived. But here I am, thinking and writing in a wonderful place in Stresa, and it feels good.
So, while Iām here, I was reading some papers about prompting⦠yeah, being in Stresa and thinking about prompting is everything but romantic š. Donāt judge me.
Itās funny how even in a setting like thisāsurrounded by the peaceful beauty of Lake Maggiore and the stunning view of Isola BellaāI find myself contemplating the intricacies of large language models and how weāre only beginning to understand their true potential. I mean, take a look at this view.
Itās serene, isnāt it?
The lush greenery, the tranquil waters, and the majestic Alps looming in the background.
Youād think such a scene would pull me entirely into a state of complete relaxation. And it does!
And yet, in the middle of this peaceful landscape, my mind still sometimes fully engages in exploring the complexities of AI.
Weird, but not unwelcome. Itās also inspiring.
The Art of Prompting: More Than Just Asking Questions
The setting here in Stresa is like the perfect metaphor for the relationship between humans and LLMs.
No, Iām kidding. Itās not. š But hereās what Iām thinking:
The more I dive into prompting techniques, the more I realize that the limits of LLMs are largely our own. Sure, theyāve been trained on massive datasets, and they can produce incredibly insightful outputs.
But the prompts we give them? Often too simplistic.
When we get more sophisticated with how we prompt, we start to see just how much more these models are capable of.
Think about how detailed and layered the gardens on Isola Bella are. Much like those gardens, prompting can be complex and multi-faceted, guiding LLMs to explore deeper layers of reasoning.
What a ridiculous comparison š Anyway.
One of the techniques that stood out to me during my vacation reading is chain-of-thought (CoT) prompting. This method essentially walks the model through complex reasoning tasks in a step-by-step manner, helping it arrive at much more accurate conclusions.
CoT prompting adds structure to the AIās problem-solving process. It breaks down intricate problems into manageable steps and guides the LLM through each stage, allowing it to āthink out loudā and come to the right conclusion.
Why Prompting Is Like Lake Maggiore š
The landscape of Lake Maggiore and the historic charm of Isola Bella remind me that thereās often more to something than meets the eye. LLMs are much the same.
Itās fun trying to be poetic š¤©š¤£ Is it because Iām in š®š¹?
We tend to view them as powerful but perhaps limited tools, but thatās because weāre still learning how to engage with them. The beauty of the scene in front of me mirrors the untapped potential of these models.
Thereās a lot happening beneath the surface that weāre not yet able to fully appreciate.
One prompting technique I found particularly fascinating is self-consistency prompting, which works by generating multiple reasoning paths and selecting the most consistent one.
It's kind of like hiking up a mountain path, where there are several routes to the same summit, but some are smoother and more reliable. By exploring multiple routes, the model increases its chances of getting the right answer.
This parallels the layered scenery Iām looking at. Thereās the lake, the trees, the beautifully structured palace gardens, and beyond that, the mountain range. Each layer contributes to the overall beauty of the place, just as each step in self-consistency prompting adds depth to the modelās reasoning process.
Omg. This is an even more ridiculous comparison than the one before. I should stop. ā But itās fun, I canāt help it š
We Havenāt Reached the Limit Yet
The more I read about prompting, the more it becomes clear that weāre only scratching the surface of what LLMs can do. Thereās still so much we donāt know. So many undiscovered ways to tap into their potential.
Itās like taking in the view of Isola Bella from multiple angles: thereās always something new to appreciate, another layer of beauty to uncover. The more we experiment with prompting techniques, the more we realize how much more there is to discover about LLM capabilities.
The Future of AI Interaction Is Here
LLMs have layers of potential waiting to be unlocked. How we interact with themāhow we prompt themāwill determine just how far we can go.
Weāve only just begun to tap into the true potential of LLMs, and thereās so much more to discover. But I also believe we may never fully understand whether weāve explored all possible, yet undiscovered, prompting techniques.
Why? Because prompting, like language itself, is inherently open-ended. Just as there are countless ways to express a single thought in natural language, there are an infinite number of ways we might guide an AI to explore and process information. Every new prompt reveals another facet of the modelās capabilities, but there will always be more unexplored paths, more subtle nuances in how we can structure questions or provide context. The dynamic nature of human language, combined with the complexity of AI, means that the possibilities are endlessāthereās always another layer of sophistication we havenāt yet reached.
If youāre as fascinated by this as I am, I encourage you to explore the world of prompting further. Thereās a whole landscape of possibilities waiting to be unlockedājust like the view Iām enjoying here in Stresa.
That was my last attempt at being poetic and justifying my AI outbreak during vacation, I promise. š
Thanks for reading.
And donāt worry. Iāll get back to enjoying my vacationā¦
JBK šļø
P.S. Let me know if youāve tried any advanced prompting techniques! Iād love to hear your thoughts on how we can unlock even more of AIās potential.
This is a beautiful comparison and I think it is brilliant. To me, your article is proof that human imagination and creativity simply cannot be replicated or replaced by even the smartest AI.
I enjoyed every bit of this. As someone with a background in communication, your literary expressions were soothing to read and drive home the core lessons in the article. Thank you for sharing.
I wanted to ask, are there any prompting materials you could recommend that takes the discuss from a beginner level to advanced understanding?
Happy vacationing and stay safe, Jaser!