ickas
@ickas
Running a Large Language Model (LLM) on your own device may become the norm in the future. I believe this—or at least hope for it. You can start experimenting with it right now. Trust me, it's a comforting thought! Running LLMs locally is no longer reserved for experts with expensive hardware or hacker skills like in the movies. Thanks to advances in model optimization, you can now run powerful AI models directly on laptops and even smartphones 🤯 Here's why you should give it a try and how to get started: → Privacy + control → Customization + consistency → Educational insight 1/5
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ickas
@ickas
đź”’ Privacy + control Using online AI tools often means your conversations are used to train future models, sometimes without your explicit consent or knowledge. Running a language model locally ensures that your data remains private and secure, as it never leaves your personal environment. This empowers you to maintain control over your AI experience, free from the oversight of large tech corporations, granting you autonomy and peace of mind in your digital interactions. 2/5
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ickas
@ickas
đź’… Customization + consistency One of my favorite reasons for running a local LLM is the consistency it offers. How often have you used an LLM for writing assistance, and suddenly he switch styles out of the blue, even with the same prompts or presets? Local models eliminate surprise updates, shifting responses, and company-imposed limitations. You have full control over how your model operates, ensuring your AI tools remain consistent. 3/5
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ickas
@ickas
🧠Educational insight Trying out local models offers firsthand insight into their capabilities, especially their limitations. These smaller models tend to hallucinate more frequently, vividly illustrating the broader challenges AI systems face. This behavior highlights the potential for advanced models to inadvertently fabricate information, emphasizing the need to develop a keen eye for spotting such discrepancies. Engaging with these local models equips you with the critical skills necessary to navigate and interpret AI outputs more effectively. 4/5
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ickas
@ickas
🛠️ How to start 1. If you're comfortable with the command line, check out Lllama for a huge library of open models—one single command to download and run: https://ollama.com 2. If you prefer an app, LM Studio might be your best choice. It provides a user-friendly interface for browsing and running LLMs, with plenty of guidance for beginners: https://lmstudio.ai For enthusiasts, tinkerers, or privacy-conscious users, local LLMs are practical, powerful, and fun to experiment with. Don’t be afraid—give it a shot and try out the AI offline. 5/5
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