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Neil Black

neo1231
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https://www.horizonaiprotocol.com/

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repliedto GoktugD's post 13 days ago
πŸš€ **Do We Really Need Billion-Parameter AI Models for Every Task?** The AI industry is obsessed with scale. Bigger models. More parameters. More GPUs. More compute. But what if we're overlooking something important? **Efficiency matters just as much as scale.** I've been working on open-source AI models focused on Turkish NLP, document understanding, OCR, and specialized language tasks. My goal is simple: Build AI models that are **smaller, faster, more accessible, and genuinely useful.** πŸ”Ή Small language models optimized for specific tasks πŸ”Ή Efficient inference without expensive GPU infrastructure πŸ”Ή Open-source models and datasets πŸ”Ή Better AI support for underrepresented languages πŸ”Ή Practical applications instead of benchmark hype I believe the future of AI won't be dominated exclusively by massive foundation models. It will also belong to **small, specialized models that solve real problems efficiently.** And that's exactly what I'm building. I'm sharing my experiments, models, datasets, and research openly on Hugging Face. πŸ€— **Explore my work:** https://huggingface.co/GoktugD πŸ’¬ **Here's a question for the AI community:** Would you rather deploy a specialized 300M-parameter model that performs your task well, or a general-purpose 8B model that requires significantly more resources? I'm genuinely interested in hearing your experiences. **Let's make powerful AI accessible to everyone. 🌍** #OpenSourceAI #SmallLanguageModels #MachineLearning #HuggingFace #EfficientAI
upvoted a paper 17 days ago
Memory-Centric Continual Learning for AI Agents
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