Rev Up Your AI by 2.39x: How Founders Can Transform Customer Support The SoT Strategy

There are two types of people in the Caveminds tribe: those who are wowed by AI chatbots and think they're the coolest thing ever since cavemen discovered fire, and those who just yawn and say, 'Meh… what's the big deal?’

And truth be told, Large language models (LLM) like ChatGPT are powerful but suffer from slow inference times, even if you don’t sense it.

No matter what type of person you are, we have a special treat for you today.

In today’s Future Friday…

• 🚀 Time to embrace 2.39X in speed with SoT

• 💸 Why you’ll see time and efficiency gains with SoT

• 🔧 How SoT can help solve your business woes - full prompts + scenarios

• 🧠 Crazy All-in-one AI research tool that’ll save you hours

Alright, let’s get started!

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Accelerate Your AI by 2.39x and Your Business 🚀

The big brains are at it again! Microsoft Research and Tsinghua University have teamed up and published a paper that introduces a fresh methodology.

They've cooked up a new way that could make your LLM run 2.39X faster, while improving answer quality in various areas, and even thinking more like a human.

The magic behind it? The keyword here is parallel decoding. How cool is that?

🤔 If SoT sounds a bit familiar…

Maybe that’s because you’ve read one of our most acclaimed issues so far, about how the ToT approach changes the prompting game, solving 74% of tasks compared to just 4% with the standard approach — it's like déjà vu, but with more acronyms.

So first, let’s see why you’ll want to get your hands on SoT:

🏆 Golden Nuggets

• SoT accelerates AI response times by up to 2.39x, like adding a turbo boost to your systems and operations.

• If used right, it can enhance the quality of your product. SoT pushes LLMs to think like humans, thinking logically, and providing smarter and more relevant answers.

• SoT methodology will allow you to reach new levels of speed, productivity, and efficiency, bringing your operations and customer experience to the next level.

• Even more, you can apply SoT methodology on any kind of LLM, like ChatGPT, Bard, Claude, and any other out there. 

💰 Impact On Your Business

The secret sauce in SoT lies in what we call parallel decoding. This lets you process multiple requests at once, rather than waiting for one request to be completed 🤝 

Therefore, if done well, good prompt engineering could allow you to get thousands of inquiries answered in a snap! You can expect improvements regarding:

• Time: Reduce customer wait times with faster responses, enhancing customer satisfaction.

• Efficiency: Streamline processes by handling multiple queries simultaneously, boosting productivity.

Stay with us now, because we’re about to give you juicy examples for businesses in multiple sectors and how you should prompt the LLM to achieve these improved outcomes:

⚒️ Actionable Steps — the prompting logic