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Source channel @githubtrending · Post #15515 · Feb 21

#typescript GitNexus indexes your codebase into a knowledge graph tracking dependencies, call chains, clusters, and flows, then connects AI agents like Cursor and Claude Code via CLI tools for reliable analysis. Run `npx gitnexus analyze` from your repo root to start—it auto-generates context files and MCP setup. Use tools like `impact` for change risks or `rename` for safe refactors. This boosts your productivity by preventing AI blind edits, cutting debugging time, and enabling smaller models to grasp full architecture fast. https://github.com/abhigyanpatwari/GitNexus

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Machinelearning

@ai_machinelearning_big_data · Post #8615 · 09/23/2025, 05:34 PM

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⚡️Новая модель LFM2-2.6B - лидер в классе до 3B параметров. Ключевые особенности: - лёгкая и быстрая, всего 2.6B параметров - построена на архитектуре v2 (short convs + group query attention) - обучена на 10 трлн токенов, поддерживает контекст до 32k LFM2-2.6B - компактная, но мощная моделька для широкого спектра задач. 🟠Blog post: https://liquid.ai/blog/introducing-lfm2-2-6b-redefining-efficiency-in-language-models 🟠HF: https://huggingface.co/LiquidAI/LFM2-2.6B 🟠Model Bundle on LEAP: https://leap.liquid.ai/models?model=lfm2-2.6b @ai_machinelearning_big_data #AI#LLM#LFM2#OpenSourceAI#Multilingual

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