Hustle Hub #37

New to Hustle Hub? Make sure to subscribe for more!

Hey hustler,

Hope you’re enjoying your weekend. After working tirelessly for the past 3 months, I’m very excited to share with you that I’m launching Chatted AI for the open beta today! 🎉

After working in data science for the past few years, one of the main challenges I’ve seen is that SMEs often struggle to get insights from their data because they don’t know how to do it or they don’t have enough resources to hire someone to make sense of their data.

When ChatGPT was released, I knew that this technology could make a huge impact on SMEs, that’s why I started Chatted AI. All you have to do is just:

1. Upload your data

2. Ask questions

3. Get actionable insights

❌ No more formulas
❌ No more pivot table
❌ No more learning how to code
❌ No more waiting for your reports

✅ Just ask.

In today's issue, I’d like to share with you why English is the new programming language, you don’t need to know everything and the release of Llama 2 (open-source LLM by Meta).

Let’s get to it! 🚀 

🛖 What's in the hub today?

• Tip: English is the new programming language

• Mistake: I wanted to keep up with all AI news and trends

• Learning: You don’t need to know everything

• Article: Explaining p-values with puppies

• Tool: Llama 2

⭐️ 1 Tip

English Is The New Programming Language

Prompt engineering has been on the rise since the launch of ChatGPT last year in December, and it’s not going to stop anytime soon.

Why? Because this is the first time in history that humans are empowered to write code, build websites, analyse data, and do a bunch of automation for improved productivity — all by just typing prompts and feeding them to LLM 🤯

Because of the importance of prompt engineering, tons of Generative AI (or LLM) applications are being created almost every day to make our life better.

While most of these LLM applications will probably die (due to poor product-market fit), the ones that survive could potentially make it big — just like how the dot-com bubble happened in 1990.

The good news is that we can all build something cool without learning how to code. All you need is prompt engineering skills.

Don’t know how to build a dashboard using React? Just ask ChatGPT to generate the whole template for you and voilà — you can build the dashboard in hours instead of weeks.

⚠️ 1 Mistake

Ever since the launch of ChatGPT on 30 December 2022, there have been tons of AI news popping out every day — even until today 🤯

• AI tools that solve certain problems

• AI startups that got funded

• AI news and trends

• … and many more

After some time, I was overwhelmed with all the information because I wanted to keep up with all the AI news and trends.

Because of that, I had a mini-burnout as I struggled to pick up signals from all the noise.

🧠 1 Learning

After some time, I’ve come to realise that I don’t need to keep up with everything. I have to filter the noise and pick up the signals to know what’s truly important.

🧠 Here’s what I’ve learned:

• You don’t need to know everything. AI development is moving at a breakneck speed. Just know what is important for your work and learn the rest only when you need them.

• To help me filter the noise and pick up the signals, I only read AI newsletters that distil the most important AI news and trends instead of scrolling social media feeds and getting overwhelmed with the noise.

• Some of the AI newsletters that I’m reading include Ben’s Bites, Superhuman, and Alpha Signal.

📜 1 Article

Explaining p-values with puppies

We all know the importance of statistics, especially p-values when it comes to data science. However, not many people know how to explain p-values or how to use p-values for their analysis.

That’s why when I first read this article written by Cassie Kozyrkov, I was blown away by how she explained p-values so well with puppies.

📚️ Here are my takeaways from the article:

• A p-value doesn’t prove anything. It’s simply a way to use surprise as a basis for making a reasonable decision.

• A p-value asks, “If I’m living in a world where I should be taking my default action, how unsurprising is my evidence?”

  • The higher the p-value, the less ridiculous I’ll feel about persisting with my planned action.

  • If the p-value is low enough, I’ll change my mind and do something else.

🧰 1 Tool

Meta recently released their LLM model (Llama 2) as an open-source model — and this is a game changer.

Why? Because, unlike OpenAI which tends to keep everything closed door, Meta’s open innovation approach to AI is what will truly democratise the use of AI for the public.

Personally, I foresee that open-source LLMs will eventually be made accessible to everyone to build meaningful and safe AI applications. This is one of the reasons why Python is so popular nowadays compared to more commercial programming languages like Matlab.

🚀 Whenever you’re ready, there are 4 ways I can help you:

1. Book a coaching call with me if you need help in the following:

2. Promote your brand to 1,400+ subscribers in the data/tech space by sponsoring this newsletter.

3. Watch my YouTube videos where I talk about data science tips, programming, and my tech life (P.S. Don’t forget to like and subscribe 💜).

4. Follow me on LinkedIn and Twitter for more data science career insights, my mistakes and lessons learned from building a startup.

That's all for today

Thanks for reading. I hope you enjoyed today's issue. More than that, I hope it has helped you in some ways and brought you some peace of mind.

You can always write to me by simply replying to this newsletter and we can chat.

See you again next week.

- Admond