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takeraparterer

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replied to their post about 21 hours ago
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. ๐Ÿ”— 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
replied to their post about 21 hours ago
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. ๐Ÿ”— 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
replied to their post about 21 hours ago
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. ๐Ÿ”— 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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takeraparterer's activity

replied to their post about 21 hours ago
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you act like you think you've met me before thouh

replied to their post about 21 hours ago
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just for clarification, who do you think I am?

replied to their post about 21 hours ago
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why did you make this metaphorical? i was asking about the llm model

replied to their post about 22 hours ago
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just following up on something earlier, did you ever get around to decreasing the model size and adding dropout?

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replied to KnutJaegersberg's post 3 days ago
reacted to KnutJaegersberg's post with ๐Ÿค— 4 days ago
replied to KnutJaegersberg's post 4 days ago
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I love meaningless AI slop ๐Ÿค—๐Ÿค—๐Ÿค—

reacted to christopher's post with ๐Ÿ˜” about 2 months ago
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The folks at Foursquare released a dataset of 104.5 million places of interest ( foursquare/fsq-os-places) and here's all of them on a plot
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