AI Developers from Latin America

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rmayormartins 
posted an update 1 day ago
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Invite to LatinAI "AI Developers from Latin America"
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Let’s come together to advance Artificial Intelligence in Latin America!
Join AI Developers from Latin America and be part of a collaborative community sharing models, datasets, and projects from our region.
🚀 Participate, contribute, and connect with developers across Latin America.
🌎 Create and share resources relevant to our countries!
🔗 Join here https://huggingface.co/LatinAI
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¡Unámonos para fortalecer la Inteligencia Artificial en América Latina!
Únete a AI Developers from Latin America y forma parte de una comunidad colaborativa para compartir modelos, conjuntos de datos y proyectos destacados de nuestra región.
🚀 Participa, contribuye y conecta con desarrolladores de toda América Latina.
🌎 ¡Crea y comparte recursos relevantes para nuestros países!
🔗 Únete aquí https://huggingface.co/LatinAI
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AlexBodner 
posted an update 2 days ago
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1277
Just published a post explaining Monte Carlo Tree Search: the magic behind AlphaZero and now used to tackle reasoning benchmarks with LLMs. Check it out because it's a must know nowadays!

https://x.com/AlexBodner_/status/1877789879398244382
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AlexBodner 
posted an update 20 days ago
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465

🚀🤖𝐃𝐨 𝐀𝐧𝐝𝐫𝐨𝐢𝐝𝐬 𝐃𝐫𝐞𝐚𝐦 𝐨𝐟 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜 𝐌𝐚𝐫𝐢𝐨𝐬?

Discover how we replaced the classic game engine with DIAMOND, a Neural Network that predicts every frame based on actions, noise, and past states. From training on human and RL gameplay to generating surreal hallucinations, this project shows the potential of diffusion models in creating amazing simulations. 🎮

🧵 Dive into the full story in our Twitter thread:
👉 https://x.com/AlexBodner_/status/1871566560512643567
🌟 Don’t forget to follow and leave a star for more groundbreaking AI projects!
rmayormartins 
updated a collection about 2 months ago

Español: Accento Costa Rica

1
#1 opened about 2 months ago by
marlhex
asoria 
posted an update 3 months ago
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1836
🚀 Exploring Topic Modeling with BERTopic 🤖

When you come across an interesting dataset, you often wonder:
Which topics frequently appear in these documents? 🤔
What is this data really about? 📊

Topic modeling helps answer these questions by identifying recurring themes within a collection of documents. This process enables quick and efficient exploratory data analysis.

I’ve been working on an app that leverages BERTopic, a flexible framework designed for topic modeling. Its modularity makes BERTopic powerful, allowing you to switch components with your preferred algorithms. It also supports handling large datasets efficiently by merging models using the BERTopic.merge_models approach. 🔗

🔍 How do we make this work?
Here’s the stack we’re using:

📂 Data Source ➡️ Hugging Face datasets with DuckDB for retrieval
🧠 Text Embeddings ➡️ Sentence Transformers (all-MiniLM-L6-v2)
⚡ Dimensionality Reduction ➡️ RAPIDS cuML UMAP for GPU-accelerated performance
🔍 Clustering ➡️ RAPIDS cuML HDBSCAN for fast clustering
✂️ Tokenization ➡️ CountVectorizer
🔧 Representation Tuning ➡️ KeyBERTInspired + Hugging Face Inference Client with Meta-Llama-3-8B-Instruct
🌍 Visualization ➡️ Datamapplot library
Check out the space and see how you can quickly generate topics from your dataset: datasets-topics/topics-generator

Powered by @MaartenGr - BERTopic
AlexBodner 
posted an update 3 months ago
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2404
💾🧠How much VRAM will you need for training your AI model? 💾🧠
Check out this app where you convert:
Pytorch/tensorflow summary -> required VRAM
or
Parameter count -> required VRAM

Use it in: http://howmuchvram.com

And everything is open source! Ask for new functionalities or contribute in:
https://github.com/AlexBodner/How_Much_VRAM
If it's useful to you leave a star 🌟and share it to someone that will find the tool useful!
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Kukedlc 
posted an update 3 months ago
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1245
Multilingual Audio Podcast Generator - Gemma 2 + Edge-TTS

Hello Friends, I want to share my latest kaggle notebook to create a podcast of papers (or any pdf) in more than 21 languages. Implements any LLM (use Gemma2-9b-it) and for the TTS edge-tts. I hope it will be useful for you to catch up with the papers that are coming out faster and faster every day!

https://www.kaggle.com/code/eugeniokukes/multilingual-audio-podcast-generator-gemma-tts



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asoria 
posted an update 4 months ago
asoria 
posted an update 4 months ago
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961
🚀 Excited to share the latest update to the Notebook Creator Tool!

Now with basic fine-tuning support using Supervised Fine-Tuning! 🎯

How it works:
1️⃣ Choose your Hugging Face dataset and notebook type (SFT)
2️⃣ Automatically generate your training notebook
3️⃣ Start fine-tuning with your data!

Link to the app 👉 https://lnkd.in/e_3nmWrB
💡 Want to contribute with new notebooks? 👉https://lnkd.in/eWcZ92dS
AlexBodner 
posted an update 4 months ago
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1615
💾🧠How much VRAM will you need for training your AI model? 💾🧠
Check out this app where you convert:
Pytorch/tensorflow summary -> required VRAM
or
Parameter count -> required VRAM

Use it in: http://howmuchvram.com

And everything is open source! Ask for new functionalities or contribute in:
https://github.com/AlexBodner/How_Much_VRAM
If it's useful to you leave a star 🌟and share it to someone that will find the tool useful!
More discussion in: https://x.com/AlexBodner_/status/1832054850294812679
AlexBodner 
posted an update 4 months ago
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1845
💾🧠How much VRAM will you need for training your AI model? 💾🧠
Check out this app where you convert:
Pytorch/tensorflow summary -> required VRAM
or
Parameter count -> required VRAM

Use it in: http://howmuchvram.com

And everything is open source! Ask for new functionalities or contribute in:
https://github.com/AlexBodner/How_Much_VRAM
If it's useful to you leave a star 🌟and share it to someone that will find the tool useful!
More discussion in: https://x.com/AlexBodner_/status/1832054850294812679

  • 1 reply
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AlexBodner 
posted an update 4 months ago
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361
💾🧠How much VRAM will you need for training your AI model? 💾🧠
Check out this app where you convert:
Pytorch/tensorflow summary -> required VRAM
or
Parameter count -> required VRAM

Use it in: http://howmuchvram.com

And everything is open source! Ask for new functionalities or contribute in:
https://github.com/AlexBodner/How_Much_VRAM
If it's useful to you leave a star 🌟and share it to someone that will find the tool useful!
More discussion in: https://x.com/AlexBodner_/status/1832054850294812679
asoria 
posted an update 4 months ago
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820
I've been working on a Space to make it super easy to create notebooks and help users quickly understand and manipulate their data!
With just a few clicks automatically generate notebooks for:

📊 Exploratory Data Analysis
🧠 Text Embeddings
🤖 Retrieval-Augmented Generation (RAG)

✨ Automatic training is coming soon!
Check it out here asoria/auto-notebook-creator
Appreciate any feedback to improve this tool 🤗
AlexBodner 
posted an update 4 months ago
AlexBodner 
posted an update 4 months ago
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3790
💾🧠How much VRAM will you need for training your AI model? 💾🧠
Check out this app where you convert:
Pytorch/tensorflow summary -> needed VRAM
or
Parameter count -> needed VRAM

Use it in: http://howmuchvram.com

And everything is open source! Ask for new functionalities or contribute in:
https://github.com/AlexBodner/How_Much_VRAM
If it's useful to you leave a star 🌟and share it to someone that will find the tool useful!
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AlexBodner 
posted an update 5 months ago
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1587
💾🧠Want to know how much VRAM you will need for training your model? 💾🧠
Now you can use this app in which you can input a torch/tensorflow summary or the parameters count and get an estimate of the required memory!
Use it in: howmuchvram.com

Also, everything is Open Source so you can contribute in repo: https://github.com/AlexBodner/How_Much_VRAM
Leave it a star⭐