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Mariusz Kurman PRO

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AI Tech Lead | MD

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reacted to davidmezzetti's post with 👍 1 day ago
🥃 Distilling Tiny Embeddings. We're happy to build on the BERT Hash Series of models with this new set of fixed dimensional tiny embeddings models. Ranging from 244K parameters to 970K and 50 dimensions to 128 dimensions these tiny models pack quite a punch. Use cases include on-device semantic search, similarity comparisons, LLM chunking and Retrieval Augmented Generation (RAG). The advantage is that data never needs to leave the device while still having solid performance. https://huggingface.co/blog/NeuML/bert-hash-embeddings
reacted to branikita's post with 🔥 1 day ago
Our engineer Alan from https://robonine.com team has assembled the mechanical frame of our 6-DoF manipulator prototype - without servo motors for now. At this stage we are evaluating how easy the structure is to assemble, checking for any mechanical play, and validating the kinematics. Good news: the structure feels solid and Alan reports no detectable backlash so far.
reacted to Sri-Vigneshwar-DJ's post with 👀 1 day ago
Introducing Hawky-AI H1 4B PM: The First Open-Source LLM for Performance Marketing 🎯 Hey HF Community! 👋 Just released the first LLM fine-tuned specifically for Performance Marketing. What is it? Gemma 3 4B distilled from Claude Opus 4.5 with expert-level marketing knowledge. Covers: 📱 Meta Ads (campaign structure, bidding, scaling, creative fatigue) 🔍 Google Ads (Quality Score, Performance Max, lead gen) 📊 Measurement (ROAS vs MER, incrementality, LTV:CAC) 🎨 Creative Strategy (hook rates, A/B testing, funnel creative) Why we built it: Generic LLMs say "optimize your targeting" — not helpful. This model gives specific frameworks like "frequency at 4.5 + CTR drop = creative fatigue, here's the fix..." Technical: Base: Gemma 3 4B Method: QLoRA (r=64) Teacher: Claude Opus 4.5 🔗 Model: https://huggingface.co/Sri-Vigneshwar-DJ/hawky-ai-H1-4b-PM Built by Hawky.ai Try it and let us know what you think! 🚀
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