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Learn how to use our service more effective. Here you can find a lot of useful information, including incredible lifehacks, that could lead your AI experience co-working to a new level!

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DeepSeek 3.2: Security Audit and Trust Architecture in Open LLMs
December 12, 2025
Despite geopolitical concerns, DeepSeek 3.2 is secure if managed correctly. Its open-weights nature allows users to control inference infrastructure, audit security with Garak, and isolate data, ensuring architectural trust.
Free LLM's
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MLC LLM: How to Run Big Artificial Intelligence on Your Laptop
November 28, 2025
MLC LLM lets you run large AI models (like Llama) locally on your laptop or phone. Stop worrying about cloud tokens and data leaks! This article explains the tech magic (compilation, quantization) and the benefits for developers (no token costs, offline mode), businesses (privacy), and users.
Free LLM's
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The Colosseum of Code: Why the Chatbot Arena Is the Only AI Benchmark That Actually Matters
November 27, 2025
Traditional AI benchmarks are broken. Enter the Chatbot Arena: a digital thunderdome where models fight for human approval. This article explores how a simple "blind taste test" became the industry's most critical metric, the hidden biases in our votes, and why "vibes" now rule the leaderboard.
Free LLM's
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A Quiet Earthquake in Beijing: Moonshot’s Kimi K2 Thinking Just Rewrote the Rules
November 18, 2025
Moonshot AI's Kimi K2 Thinking—a 1-trillion-parameter open-source model trained for just $4.6M—outperformed GPT-5, Grok-4, and Claude on reasoning, coding, and agentic benchmarks. This Beijing breakthrough excels at long-chain thinking and code but skips images/video, proving world-class AI
Free LLM's
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Best AI for Work and Everyday Tasks in Late 2025
November 18, 2025
Overview of the top 5 AI assistants in 2025: ChatGPT, Gemini, Claude, Grok, and Perplexity. The article breaks down the unique strengths of each tool — from creative writing and coding to deep technical analysis, Google Workspace integration, real-time social insights, and fully cited research.
Free LLM's
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Practical Analysis of Compact AI Systems for Local LLM Deployment (2025)
November 7, 2025
This article provides a practical analysis of new AI desktop and mini-server solutions for running open-source large language models locally. It compares cost, performance, and memory across eleven systems to help users choose the most efficient setup for deploying models from 20B to 176B parameters
Free LLM's
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Best open-source LLMs in 2025: What everybody is running now
October 31, 2025
In 2025, open-source large language models dominate local and enterprise AI use. Qwen3, Gemma 3, and Mistral 3.1 lead for speed, accuracy, and versatility. Phi-4 and DeepSeek R1 push reasoning and large-scale performance to new levels. The article compares these models, showing who uses each and why they define the AI landscape of mid-2025.
Free LLM's

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