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

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
Feb 11
OpenAI is getting Deepseek’d again.

@Convergence_ai_, a tiny London startup just built one of the most capable AI agents for the web.

Proxy is outperforming Operator on every benchmark handpicked by @OpenAI.



Let’s dive in! 🧵↓ proxy.convergence.aiImage
Let’s start with this, proof 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.

Keep scrolling for comparison videos! ↓tech.eu/2024/09/27/con…
Task 1: Find chicken recipes.

❌ Operator gives up after 4 minutes.
✔️ Proxy completes it twice before Operator finishes.
✔️ Not only that, Proxy also delivers complete results.

3/
Read 11 tweets
Sep 5, 2023
I'm SO excited about our @Streamlit #LLM Hackathon kicking off today! 🎈🚀

Build an innovative LLM app, and get ace prizes from our amazing partners:

- @LangChainAI
- @AssemblyAI
- @Weaviate_io
- @Llama_Index
- @ClarifAI

🔗 Join:

More below 🧵↓ streamlit.io/community/llm-…

💡 Rules:

Build an innovative #LLM-based @Streamlit app that incorporates at least one of the following LLM technologies:

- @LangChainAI
- @AssemblyAI
- @Weaviate_io
- @Llama_Index
- @ClarifAI

- There are 5 “Most Innovative Use” prize categories, one for each partner listed above.
- In each category, there will be two lucky app winners.
You can submit your app alone, or as a team of two.
- Winners will be announced by October 5.
Image
🧑‍⚖️ Judging:

- Inventive: Your app offers unique features not present in other @Streamlit apps.
- Error-Free: No errors detected during app testing.
- Public GitHub Repo:
Your app’s source code is public—using secrets management to protect your API keys and credentials.
- Hosted on Community Cloud: Your app must be publicly accessible on Streamlit's Community Cloud.
- Tools Used: Incorporates at least one partner such as LangChain, LlamaIndex, Weaviate, AssemblyAI, or Clarifai.
- LLM Pain Points: Bonus for addressing LLM challenges like transparency, trust, accuracy, privacy, cost-efficiency, or ethics.
Image
Read 11 tweets
Jul 25, 2023
Want to try out @Meta's latest open-sourced #AI chatbot, #Llama2?

Here are three (FREE!) ways to do it! 🧵↓ Image
@perplexity_ai 2 - via @huggingface! 🤗

Read 6 tweets
Jul 20, 2023
Amazing new #SpeechRecognition release by @AssemblyAI! 🔥

Their new #Conformer2 model, trained on a vast 1.1M hours of audio data, is here, marking a 170% increase in training compared to its predecessor!

Let's dive in!

🧵↓

1/6
.@AssemblyAI's versatile new algo handles a huge range of speech recognition tasks:

✔️ Transcription
✔️ Summarization
✔️ Topic detection
✔️ Content moderation
✔️ Sentiment analysis
✔️ Entity detection & more!

A real Swiss army knife for efficient audio & text processing!

2/6 Image
Built on a scaled-up version of Google Brain's Conformer architecture, #Conformer2 takes cues from the scaling laws discovered by @GoogleDeepMind! 🧠

This larger training data set aims for greater accuracy in transcriptions, even for challenging audio data!

3/6 Image
Read 7 tweets

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