The most effective AI systems don't rely on a single model. Frontier models provide state-of-the-art performance for complex tasks, while routers automatically select lightweight, open-source models for simpler jobs to optimize accuracy, latency, and cost. Learn more:
OPEN SOURCE
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Store AI Model Checkpoints on Hugging Face for Community
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very cool! you should store all the intermediary checkpoints on Hugging Face for permanence (and community visibility/sharing):
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Open-Weight Local AI Like Solar Panels vs Centralized Services
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He's making a great case for people using open-weight models on their own local devices. If OpenAI is the new electric company, having on-prem AI machines is like having your own solar panels. https://t.co/tuiPeG0QX7
— Matt Wolfe (@mreflow) 12 mars 2026He's making a great case for people using open-weight models on their own local devices. If OpenAI is the new electric company, having on-prem AI machines is like having your own solar panels.
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Open-Weight Local AI Models as Alternative to Centralized AI Services
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He's making a great case for people using open-weight models on their own local devices. If the OpenAI is the new electric company, having on-prem AI machines is like having your own solar panels.
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Notion and open weights: advancing AI accessibility
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Great post from @NotionHQ and great shoutout to open weights!
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Agents Store Intermediary Checkpoints on Hugging Face
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your agents could store the intermediary checkpoints on HF for persistence (+ sharing of course). we just released new storing options:
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Working fine with Ollama and llama.cpp for Nemotron model
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Weird, what issue are you having. Works for me both in ollama and native llama.cpp I am using unsloth/NVIDIA-Nemotron-3-Super-120B-A12B-GGUF:MXFP4_MOE
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Building Large Language Models From Scratch YouTube Series
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I actually have a Build an LLM From Scratch YouTube series
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10 GitHub Repos to Master AI Engineering in 2026
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If you want to become an AI engineer in 2026, spend less time collecting tutorials and more time reading real code, real notebooks, and real systems. Here are 10 GitHub repositories that can teach you more practical AI engineering than many expensive courses: 1) AI Agents for
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CHMv2 Open Source for Global Carbon and Land Management
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CHMv2 is already supporting public sector efforts in the United States, Europe, and beyond. By making these advances open source, we aim to accelerate research and inform carbon offsetting, reforestation, and land management decisions globally. Read the paper: