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Source channel @githubtrending · Post #15116 · Sep 3

#other#ai#anthropic_claude#awesome#context#mcp#model_context_protocol#servers#tool_use#tools Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control. https://github.com/appcypher/awesome-mcp-servers

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Machinelearning

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

⚡️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