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Why the Future of AI Will Be Built by Non-Technical Domain Experts
Everyday AI
June 14, 2024
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Today in Everyday AI
7 minute read
🎙 Daily Podcast Episode: Being able to prompt an LLM is super complex right? Nah. You just need this one thing to succeed. Give it a listen.
🕵️♂️ Fresh Finds: Bill Gates speaks on AI and nuclear energy, Brave browser adds AI search results, OpenAI adds fine-tuning for function calling and Adobe sees huge gains from its AI. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: The Pope warns global leaders of AI, OpenAI hires a former NSA member, Former President Trump said he used an AI speech and Microsoft is delaying its Recall feature. For that and more, read on for Byte Sized News.
🚀 AI In 5: Is GPT-4o actually better than GPT-4 Turbo? We’re showing you an easy way to compare the two. See it here
🧠 Learn & Leveraging AI: Do you wish you had the technical skills to prompt? Well, guess what? You don’t need them. Here’s what you actually need to know about prompting. Keep reading for that!
↩️ Don’t miss out: Did you miss our last newsletter? We talked about why Apple isn't paying OpenAI, a new AI video generator and ways AI can create economic opportunities. Check it here!
Why the Future of AI Will Be Built by Non-Technical Domain Experts️ 🌐
Prompting a large language model requires a bunch of tech know-how right?
↳ Super structured inputs
↳ RAG
↳ Fine-tuning
Meh. Not so much.
The best way to prompt your way to better results?
Flex your domain expertise.
Jared Zoneraich, Founder of PromptLayer, joins us to discuss.
Join the conversation and ask Jordan and Jared questions on AI here.
Also on the pod today:
• Importance of prompt engineering 🗣
• Role of non-technical domain experts 🧑💼️
• Evolving landscape of AI technology 🤖
It’ll be worth your 32 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
Listen on:
Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – CAMB.AI is speech and translation AI, Magic Publish gives you instant metadata for your YouTube videos and NewRA lets you Build AI powered chatbots driven by your enterprise data.
AI development — OpenAI releases fine-tuning for function calling. In simple terms, this enables users to train AI models to provide more accurate and consistent outputs when certain predefined functions are triggered.
AI Stocks — Tempus AI, backed by Google, debuts in U.S. market and jumps by 15%.
Trending in AI – Bill Gates spoke on the need for nuclear energy to power AI.
AI Search - The browser Brave is adding its own search results with its LEO AI.
Money in AI - Adobe sees its biggest gain in 4 years after its AI success.
Pop Culture – Ashton Kutcher is doubling down on his statement about OpenAI Sora after facing backlash.
Read This – MIT is showing you how to opt out of Meta’s AI training.
1. Pope Francis Warns G7 Leaders about the Power of AI 🚨
Pope Francis spoke at the G7 summit in Borgo Egnazia, Italy, as he addressed global leaders about the transformative nature of AI. He stressed the importance of ethical oversight in the development of AI technology to safeguard human life and dignity.
While acknowledging the potential benefits of AI in advancing scientific research, Pope Francis also cautioned against the risks of misinformation and job market disruptions.
2. Cybersecurity General joins OpenAI's Board of Directors 👀
Retired U.S. Army General Paul M. Nakasone, a distinguished figure in cybersecurity and technology advancement, has stepped into OpenAI's Board of Directors. His extensive background in leading U.S. Cyber Command and the National Security Agency makes him a crucial addition to bolster OpenAI's security measures against evolving cyber threats.
Nakasone's focus on utilizing AI to enhance cybersecurity, especially for vulnerable sectors like hospitals and financial institutions, aligns with OpenAI's vision for safe and beneficial artificial general intelligence.
3. Microsoft Delays Recall Feature on Copilot Plus PCs 😬
Microsoft has decided to hold off on the release of the Recall feature on its upcoming Copilot Plus PCs to undergo additional quality and security testing. Originally planned as an opt-in feature with enhanced security measures, Recall will now be refined with input from the Windows Insider community before being made available.
This strategic move by Microsoft aims to ensure that the feature meets the company's high standards before reaching the hands of consumers.
4. Amazon's Alexa Struggles to Keep Up with Siri's Makeover 🔊
In the competitive world of voice assistants, Amazon's Alexa is facing a tough challenge after Apple unveiled the new "Apple Intelligence"-powered Siri at WWDC 2024. Reports suggest that Alexa is far from achieving Amazon's goal of being the best personal assistant and risks becoming outdated in the fast-paced tech landscape.
Former employees cited organizational issues and technological hurdles as key factors holding back Alexa's progress in the AI race.
5. Spotify Launches Creative Lab for Custom Ads and AI Tools 🎶
Spotify's latest venture into the advertising world involves the introduction of its in-house Creative Lab, a platform designed to assist brands in creating bespoke marketing campaigns. With the incorporation of generative AI ads and innovative tools like "Quick Audio," Spotify is redefining the way ads are produced and consumed.
This strategic move not only serves to attract more advertisers to the platform but also enables the delivery of highly personalized and engaging ad experiences for listeners.
6. Former President Trump admits using speech rewritten by AI 🤖
Former President Trump revealed his astonishment at AI's capabilities after having a speech rewritten by the technology in mere minutes. On Logan Paul’s podcast, Trump said he impressed by a speech he said was rewritten by AI and joked that speechwriters may no longer be needed in the future.
This development raises questions about the future of traditional speechwriting in politics. Trump also highlighted concerns regarding deepfakes, emphasizing the potential impact of AI-generated content on public perception and information dissemination.
ChatGPT Showdown: How to evaluate GPT-4o vs. GPT-4 Turbo
Some people are claiming that GPT-4o has taken a step down in quality.
Is that true?
We’re showing you a simple way to compare GPT-4o and GPT-4 Turbo. So then, you can judge for yourself.
Check out today's AI in 5.
🦾How You Can Leverage:
Think you need a PhD in machine learning to build or use AI?
Nah, shorties.
In the future, it might actually be the opposite.
It’s gonna be the non-technical, domain experts who are building the AI of the future.
Jared Zoneraich laid it all out for us.
The founder of PromptLayer, Jared spends his days helping build out software for prompt engineers to evaluate and log models.
Whether you’re helping build AI applications, fine-tune them or even as an end-user, the future requirements of AI are changing quickly.
Like us, Jared thinks the future of AI won’t require a black belt in large language models.
Just subject matter expertise and strong communication skills.
Ever wondered how your day-to-day expertise could shape the future of AI? Stick around. This episode is all about empowering YOU to leverage AI like never before.
Let’s get after them takeaways, shall we?
1 – Invest in Conversational Prompting 🗣
Think prompt engineering is rocket science?
Nah, it’s simpler than you think.
Jared broke it down— talking to AI models should be as natural as chatting with a colleague.
Remember when Midjourney first came out?
You had to speak in Midjourney code. Now, it’s all about plain language.
The key is being clear and conversational.
Jared explained how prompt engineering is evolving. It’s about what you want the AI to do, not how you technically instruct it.
This shift means even non-technical people can squeeze juice outta the AI lemons, turning complex tasks into simple conversations.
Try this:
Next time you’re using an AI tool, ditch the tech jargon.
If you’re using ChatGPT to draft reports, phrase your requests naturally:
“Hey, summarize this for me in three points, making sure each point specifically draws on three distinctly different aspects and cite specifics.”
Simple enough, right?
Go give this article by Ethan Mollick a read, that focuses on how conversational prompting can lead to great results.
2 – Think Computationally 🧠
Jared emphasized the power of thinking like a computer — step-by-step, logical, and precise.
It’s like solving a puzzle, piece by piece. This “chain of thought” approach is crucial when working with AI.
Break down the task into smaller, manageable steps to guide the AI effectively.
Jared shared an example:
booking a flight from New York to Chicago isn’t just a single task for an AI.
It’s a series of steps:
identifying flight options, comparing prices, and selecting the best schedule. This chain-of-thought methodology is essential for developing effective AI models.
Try this:
When working on an AI project, map out every dang step.
In excruciating detail.
Say you’re developing an AI for customer support.
Start with “Identify the customer’s issue,” then move to “Search the database for solutions,” and finally, “Provide the answer.”
(TBH, there’s like 50 steps in between, but we’re just giving a short example)
Need a lil more on computational thinking?
This site breaks it down into four simple steps.
3 – Put Domain Experts to Work 🧑💻️
Worried AI is coming for your job?
(It kinda is, but that’s another story for another day.)
But Jared’s got news: your job isn’t at risk; it’s just evolving.
The real gold in future job security lies in your ability to communicate around your domain expertise.
It’s not just about the coders anymore.
When building AI products, it starts with the deep, nuanced knowledge that only domain experts have.
Try this:
Put you and your team’s knowledge to work.
For example, in a legal firm, get your lawyers involved in training the AI for document review. Their input ensures the AI understands legal nuances.
Similarly, if you’re fine-tuning an AI model for customer support, involve your non-technical staff in reviewing and adjusting the AI’s responses.
Human expertise matters more than ever, y’all.
Keeping domain experts in the loop is how AI-human relationships lead to productivity gains.
This article from RapidCanvas shows the critical role of domain experts in AI development, including their impact on data quality and ethical us
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Numbers to watch
16.5%
Adobe Inc. shares saw their largest gain in over four years, rising as much as 16.5% due to its new AI offerings.
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