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@pluto_native started using tool Terraform , 21 hours, 51 minutes ago.

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@pluto_native started using tool Kubernetes , 21 hours, 51 minutes ago.

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@pluto_native started using tool Google Cloud Platform , 21 hours, 51 minutes ago.

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@pluto_native started using tool Amazon Web Services , 21 hours, 51 minutes ago.

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@eon01 shared a link, 1 day, 2 hours ago

Founder, FAUN.dev

A curated list of free AI models, APIs, and tools you can use without paying a cent.

Running AI shouldn't require a credit card. This list curates genuinely free models — open-weight models you can self-host, free API tiers from major providers, and tools to run everything locally.

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@eon01 added a new tool Unsloth , 1 day, 7 hours ago.

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@eon01 published a course, 1 day, 7 hours ago

Founder, FAUN.dev

Local AI Engineering with Ollama

#LangCha... #Unsloth #Fine-tu... #Ollama #MCP

Run, understand, customize, fine-tune, and build agentic apps on your own hardware

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@laura_garcia shared a post, 1 day, 11 hours ago

Software Developer, RELIANOID

EU Investment in Cybersecurity: Time for investing in Secure Solutions

🚨 €𝟭.𝟯 𝗕𝗜𝗟𝗟𝗜𝗢𝗡. That's how much the 𝗘𝗨 is investing in 𝗔𝗜, 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘀𝗸𝗶𝗹𝗹𝘀. But here's the real question: 👉 𝙄𝙨 𝙮𝙤𝙪𝙧 𝙞𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙧𝙚𝙖𝙙𝙮 𝙛𝙤𝙧 𝙬𝙝𝙖𝙩'𝙨 𝙘𝙤𝙢𝙞𝙣𝙜 𝙣𝙚𝙭𝙩? The European Commission has just sent a powerful message to organizations across Europe: cybersecurity is no longer optio..

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@nextgensoft shared a post, 1 day, 21 hours ago

Marketing Manager, nextgensoft

Why Businesses Are Moving from Generative AI to Agentic AI Systems?

Businesses are shifting from Generative AI to Agentic AI systems because modern enterprises need more than content generation; they need AI that can think, plan, make decisions, and execute tasks autonomously. Agentic AI enables smarter workflow automation, faster decision-making, reduced manual effort, and improved operational efficiency across industries. As businesses focus on scalability and intelligent automation, Agentic AI is emerging as the next evolution of enterprise AI solutions.

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@nextgensoft shared a link, 1 day, 21 hours ago

Marketing Manager, nextgensoft

Agentic AI Systems: Types, Architecture & Enterprise Use Cases

Want to build Agentic AI System? Explore this guide on Agentic AI systems, their types, architecture, and enterprise use cases.

Magika is an open-source file type identification engine developed by Google that uses machine learning instead of traditional signature-based heuristics. Unlike classic tools such as file, which rely on magic bytes and handcrafted rules, Magika analyzes file content holistically using a trained model to infer the true file type.

It is designed to be both highly accurate and extremely fast, capable of classifying files in milliseconds. Magika excels at detecting edge cases where file extensions are incorrect, intentionally spoofed, or absent altogether. This makes it particularly valuable for security scanning, malware analysis, digital forensics, and large-scale content ingestion pipelines.

Magika supports hundreds of file formats, including programming languages, configuration files, documents, archives, executables, media formats, and data files. It is available as a Python library, a CLI, and integrates cleanly into automated workflows. The project is maintained by Google and released under an open-source license, making it suitable for both enterprise and research use.

Magika is commonly used in scenarios such as:

- Secure file uploads and content validation
- Malware detection and sandboxing pipelines
- Code repository scanning
- Data lake ingestion and classification
- Digital forensics and incident response