XP

Watch me in my wandering, as I share the things I learn.

[XP @dr_watchnlearn]

It’s time to cook…

https://t.co/2ZjWxR2MGJ

[XP @dr_watchnlearn]

📖 My latest blog post unpacks the risks and dives into the real work behind Vibe Coding with AI tools in large enterprises. Read it here: https://t.co/zlgXnoFlNv

#EnterpriseAI #AIAdoption #VibeCoding #Strategy #FutureOfWork

[XP @dr_watchnlearn]

❌ You can’t scale AI if you can’t scale good judgment.

Tooling is easy. Trust is hard.
That’s the real challenge of Vibe Coding in large enterprises. If done wrong, you’ll be accelerating every flaw in your org’s structure, process, and culture.

[XP @dr_watchnlearn]

Here’s what I’ve learnt:
🔹 Great tools won’t fix unclear strategies
🔹 Speed kills when architecture isn’t strong
🔹 You can’t outsource unknown context to a model
🔹 Without explainability, debugging becomes a vibe too

[XP @dr_watchnlearn]

Great post https://t.co/nQEl5aofpg

[XP @dr_watchnlearn]

P.S. If the free spots are filled, you may check out this link for exclusive discounts: https://t.co/Zdvx8bldkE

[XP @dr_watchnlearn]

I recently released a new online course 'Geospatial Data Science with R’. Learn the skills to work effectively with spatial data for real-world applications. No prior coding experience required! https://t.co/Hy3wQVsd9n Scroll through images for details ➡

[XP @dr_watchnlearn]

With any new course, the challenge is to build 'social proof' and gain momentum for the search algorithms. Feel free to share this with your network, and if you've signed up, leaving me feedback and a rating will also help me out a lot!

Happy Learning!
Xiao Ping

[XP @dr_watchnlearn]

@foyet_juluis @udemy Thank you for your kind words, and congrats on completing the course! You did it! 🎉

[Chip Huyen @chipro]

New post: bringing LLM applications to production!

1. Challenges of LLM engineering & the solutions that I’ve seen

2. How to compose multiple tasks and incorporate tools (e.g. SQL executor, bash, web browsers, third-party APIs)

3. Promising use cases

https://t.co/XWmZfIc5mr

[Brian Roemmele @BrianRoemmele]

I am very excited to announce I have been successful in installing and operating a full ChatGPT knowledge set and interface fully trained on my local computer and it needs no Internet once installed.

There are no editors and there is no censorship.

I am using Alpaca (https://t.co/tJeAa5jYxN) from Stanford and Dalai Lama.

The training model cost about $530 to build locally yet has the abilities of GPT 3.5.

The software is free and open source and I am working on preconfigured packages for anyone to have local training and access to a LLM GPT AI.

This model is now in a live connect with all of my other AI systems and the results have been absolutely stunning.

I will be writing more about this soon.

But today know, you will own your own AI and it will only answer to you.

[Google AI @GoogleAI]

While most #ML models are trained by collecting data on a central server, federated learning makes it possible to train models without any user's raw data leaving their device. Check out the latest AI Explorable on how federated learning protects privacy→ https://t.co/5hDzyWomiO

[XP @dr_watchnlearn]

We see lots of news about fancy data products, but less about how to prioritise the right ones, ensure consistent quality, and channel them toward impactful use cases https://t.co/cWbzyJbtAQ

[XP @dr_watchnlearn]

Such great tips to reduce cognitive overload in data viz and dashboards. With detailed examples too! @nickdesb https://t.co/XCuULkM9X1

[XP @dr_watchnlearn]

Finally, the network is live :) #LoRaWAN #IoT

[XP @dr_watchnlearn]

https://t.co/0UpMGBjTci

Some nice tips on dealing with dependencies when developing R packages #rstats

[MIT Technology Review @techreview]

Companies should stop relying on carbon offsets to achieve net-zero emissions. Here are a few things they can do instead. https://t.co/QglpKmFh9R

[XP @dr_watchnlearn]

A nice list of generative art resources in R #rtistry https://t.co/IckLHXi6zI