Tag: AI Customization
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Tuning Your AI: A Cosmodestiny Approach to Gemini Gem Configuration
Artificial intelligence offers powerful capabilities, but standard configurations often default to transactional or purely instructional roles. For those interested in exploring AI as a tool for reflection, co-creation, or navigating complex personal/creative processes, a different approach is needed. This guide details how to configure an AI – specifically using Google’s Gemini Gems feature – to…
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How AI Gains Knowledge: Retraining vs Fine-Tuning vs RAG vs Context Docs – Which One Works Best?
Ever Wondered How AI Stays Up to Date? Artificial Intelligence doesn’t magically know everything—it learns through different methods. Whether it’s a full knowledge overhaul, a quick update, or an on-the-fly retrieval, each method has strengths and weaknesses. Today, we’ll explore Retraining, Fine-Tuning, Retrieval-Augmented Generation (RAG), and Context Documents (Context Docs). 1. Retraining – The Full…
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Beyond Real-World Limits: Synthetic Data’s Role in Advancing AI
Welcome to the world of synthetic data, where we create our own rules and play god in the AI universe. Real-world data? That’s so last century. In this post, we’ll take a sarcastic stroll through the wonderland of synthetic data, showing you how it’s reshaping AI training in ways that real data can only dream…