Check this out: I trained an AI on huggingface posts! all of these are AI generated:
text
Check this out: I trained an AI on huggingface posts! all of these are AI generated:
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Hello!
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Hello!
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I'm excited to share that my colleague 
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I'm excited to share that my colleague 
@felipeebert
mention
felipeebert
 and I have released the largest Spanish LLM benchmark to date. 
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 and I have released the largest Spanish LLM benchmark to date. 
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We've developed the Spanish LLM Evaluation Benchmark (SLAB), a set of benchmarks designed to evaluate the ability of language models to understand, generate and translate in Spanish.   
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We've developed the Spanish LLM Evaluation Benchmark (SLAB), a set of benchmarks designed to evaluate the ability of language models to understand, generate and translate in Spanish.   
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SLAB includes five different benchmarks:
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SLAB includes five different benchmarks:
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- Sentiment Analysis: evaluate models' ability to detect and describe sentiment in natural language
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- Sentiment Analysis: evaluate models' ability to detect and describe sentiment in natural language
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- Fact Checking: evaluate models' ability to detect and refute factual errors in text
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- Fact Checking: evaluate models' ability to detect and refute factual errors in text
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- Question Answering: evaluate models' ability to answer questions in Spanish
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- Question Answering: evaluate models' ability to answer questions in Spanish
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- Open-ended Questions: evaluate models' ability to generate coherent responses in Spanish
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- Open-ended Questions: evaluate models' ability to generate coherent responses in Spanish
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- Translation: evaluate models' ability to translate in Spanish
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- Translation: evaluate models' ability to translate in Spanish
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SLAB is aligned with the latest Spanish LLM industry developments and includes the most recent models available on the market. We aim to keep our benchmarks up-to-date and relevant to the Spanish language ecosystem.
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SLAB is aligned with the latest Spanish LLM industry developments and includes the most recent models available on the market. We aim to keep our benchmarks up-to-date and relevant to the Spanish language ecosystem.
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SLAB is available at: 
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SLAB is available at: 
https://huggingface.co/datasets/argilla/SLAB
https://huggingface.co/datasets/argilla/SLAB
link
. 
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. 
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If you would like to collaborate on building additional Spanish LLM benchmarks, let's discuss in the comments.
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If you would like to collaborate on building additional Spanish LLM benchmarks, let's discuss in the comments.
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🔗 SLAB Blog Post: 
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🔗 SLAB Blog Post: 
https://argilla.com/blog/slab
https://argilla.com/blog/slab
link
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Hello everyone,
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Hello everyone,
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I'm thrilled to announce the release of 
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I'm thrilled to announce the release of 
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https://huggingface.co/01-AI/01AI-GPT-4o
https://huggingface.co/01-AI/01AI-GPT-4o
link
 -
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 -
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A new family of models that brings the power of transformer AI to the masses.
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A new family of models that brings the power of transformer AI to the masses.
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This model is designed to be accessible and easy to use, while still offering high-quality results.
text
This model is designed to be accessible and easy to use, while still offering high-quality results.
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Key features:
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Key features:
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- Small model size: only 23M parameters
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- Small model size: only 23M parameters
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- Supports text generation, image generation, and text-to-image tasks
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- Supports text generation, image generation, and text-to-image tasks
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- Data-efficient training with a lightweight tokenizer
text
- Data-efficient training with a lightweight tokenizer
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- Optimized for efficient on-device usage
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- Optimized for efficient on-device usage
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- Uses the powerful transformer architecture to deliver high-quality results
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- Uses the powerful transformer architecture to deliver high-quality results
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Excited to see what you all think!
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Excited to see what you all think!
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https://huggingface.co/01-AI/01AI-GPT-4o
https://huggingface.co/01-AI/01AI-GPT-4o
link
Check this out: I trained an AI on huggingface posts! all of these are AI generated:
----------
Hello!

I'm excited to share that my colleague @felipeebert and I have released the largest Spanish LLM benchmark to date. 

We've developed the Spanish LLM Evaluation Benchmark (SLAB), a set of benchmarks designed to evaluate the ability of language models to understand, generate and translate in Spanish.   

SLAB includes five different benchmarks:
- Sentiment Analysis: evaluate models' ability to detect and describe sentiment in natural language
- Fact Checking: evaluate models' ability to detect and refute factual errors in text
- Question Answering: evaluate models' ability to answer questions in Spanish
- Open-ended Questions: evaluate models' ability to generate coherent responses in Spanish
- Translation: evaluate models' ability to translate in Spanish

SLAB is aligned with the latest Spanish LLM industry developments and includes the most recent models available on the market. We aim to keep our benchmarks up-to-date and relevant to the Spanish language ecosystem.

SLAB is available at: https://huggingface.co/datasets/argilla/SLAB. 

If you would like to collaborate on building additional Spanish LLM benchmarks, let's discuss in the comments.

🔗 SLAB Blog Post: https://argilla.com/blog/slab
----------
Hello everyone,

I'm thrilled to announce the release of 

https://huggingface.co/01-AI/01AI-GPT-4o -

A new family of models that brings the power of transformer AI to the masses.

This model is designed to be accessible and easy to use, while still offering high-quality results.

Key features:
- Small model size: only 23M parameters
- Supports text generation, image generation, and text-to-image tasks
- Data-efficient training with a lightweight tokenizer
- Optimized for efficient on-device usage
- Uses the powerful transformer architecture to deliver high-quality results

Excited to see what you all think!

https://huggingface.co/01-AI/01AI-GPT-4o
🚀
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Michael
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