Charly Wargnier Profile picture
Dec 6, 2022 13 tweets 7 min read Read on X
Among all the cool things #ChatGPT can do, it is super capable of handling and manipulating data in bulk, making numerous data wrangling, scraping, and lookup tasks obsolete.

Let me show you a few cool tricks, no coding skills are required!

(A thread) 👇🧵
Let's start easy by heading to chat.openai.com/chat and pasting a list of 60 countries in the text field Image
Let's ask #ChatGPT to give us the main language, latitude, longitude, and country code for each of these countries Image
That was easy enough, right?

Now let's add more data to our output by asking #ChatGPT to provide the population of each of these countries Image
Uber cool! 😎

Let's ask ChatGPT to wrap these results in a table Image
Magic! ✨

Now we'll add an index to that table Image
Boom! 💥

No #Python, PowerBI or code was needed!

Now let's try something a bit harder by asking #ChatGPT to add crime rates and COVID death tolls for the year 2020 Image
No sweat!

... and it's not even limited to tabular data!

Let's ask #ChatGPT to convert our table to a JSON file Image
Pretty impressive, right?

Now say you want to store that data in a database (e.g. the excellent @detahq), but you're not sure how to do it.

You bet! We can ask #ChatGPT how to do that Image
Let's conclude this thread by asking #ChatGPT to create a @streamlit app with a CSV uploader and filter boxes to filter `longitude`, `latitude`, and `country code`.

Not only does #ChatGPT displays the code, but it also provides clear explanations for each step! 👏 Image
This is just a quick overview of what you can do with #ChatGPT.

I'm only scratching the surface here.

For more cool things you can do with it, check out my other thread

.
If you found this helpful, two requests:

1. Follow me @DataChaz to read more content like this.
2. Share it with an RT, so others can read it too! 🙌
Note that while #AI is capable of handling tasks such as sourcing and sorting, as well as some aspects of app development, it is not yet advanced enough to replace the need for human verification.

Even with its impressive capabilities, AI still requires human oversight.

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More from @DataChaz

May 8
Wild.

With OpenAI’s new Image API, we’ve entered a new era where AI writes *and* designs your posts! 🤯

Nate Herkelman used it to turn @n8n_io into a full content + design studio:

↳ reads your post
↳ builds aligned visuals
↳ designs charts + graphics!

Full demo in 🧵 ↓
Nate just dropped the full @n8n_io demo on YouTube:


Definitely worth watching if you're a content creator!
ICYMI Nate built a full-on marketing agent in @n8n_io!

It generates images, grabs assets, writes posts, and logs every step!

Read 7 tweets
May 6
Mind-blowing.

Nate Herkelman uses AI systems in @n8n_io to automate product videography from raw photos! 🤯

His process:
↳ upload poorly lit photos
↳ enhance + auto-generate studio videos
↳ smart prompting tricks
↳ ace marketing assets in minutes!

27-min demo in 🧵 ↓
Nate just dropped the full @n8n_io demo on YouTube:


If you want to automate product videography, this is definitely worth a watch!
ICYMI: Nate built a full-on marketing agent in @n8n_io!

It generates images, grabs assets, writes posts, and logs every step. Wild stuff.

Read 6 tweets
May 4
This is next level.

Nate Herkelman uses @n8n_io to bring full observability to AI agents! 🤯

His setup:
↳ logs all agents’ actions
↳ tracks models + token usage
↳ monitors costs
↳ records I/O + errors

Full 9-minute walkthrough in 🧵 ↓
Nate just dropped the full @n8n_io demo on YouTube - super useful if you’re building AI agents!
youtube.com/watch?v=vVdS-Z…
youtube.com/watch?v=vVdS-Z…
And ICYMI, Nate also built a full-on marketing agent in @n8n_io.

It generates images, grabs assets, writes posts, and logs every step! 🤯

Read 5 tweets
Apr 22
In case you missed it, 5 new AI agent guides dropped last week from Anthropic, OpenAI, McKinsey and Google.

Most are on point and practical, one raised eyebrows… but if you’re deep into agents and LLMs, they’re all worth a look.

🧵↓
1/

Anthropic dropped a practical blueprint for building agentic workflows with Claude:

2/

OpenAI’s 34-page, great practical guide to building agents end to end:

Read 7 tweets
Mar 28
My new favorite way to visualize any codebase! 🤯


link to repo 🧵↓ gitdiagram.com
I can’t believe @ahmedkhaleel04 built this in just 7 days in @cursor_ai... it's already over 100k users and almost 3K ⭐️ on @Github!

github.com/ahmedkhaleel20…
I love seeing my beloved @streamlit featured on the homepage! 🤗🎈 Image
Read 4 tweets
Feb 19
Europe is back in the AI race.

Last week, London-based @Convergence_ai_ turned heads by crushing @OpenAI’s Operator.

Today, they’re back with something even bigger: Proxy 1.0 - one of the most powerful web-based AI agents out there!



Let’s dive in! 🧵↓ proxy.convergence.ai
Quick reminder that funding isn’t everything.

@OpenAI raised $18 billion.

@Convergence_ai_? Just $12 million! That’s 0.067% of OpenAI’s budget.

And yet, Proxy is faster, smarter, fully autonomous.



2/tech.eu/2024/09/27/con…
I got to be part of the beta, where we pushed Proxy through 100K+ real-world tasks.

The main complaints we had:

❌ Slow load times
❌ Doesn’t fully complete open-ended tasks
❌ Failures when faced with website roadblocks

Proxy 1.0 tackles all of these issues head-on!

3/
Read 12 tweets

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