Category: AI & Machine Learning - Page 2
Open Source in the Vibe Coding Era: How Community Models Are Shaping AI-Powered Development
Open source AI models are reshaping how developers code in 2025, offering customization, control, and community-driven innovation that closed-source tools can't match-even if they're faster. Discover the models, patterns, and real-world use cases driving the vibe coding era.
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How to Build Compute Budgets and Roadmaps for Scaling Large Language Model Programs
Learn how to build realistic compute budgets and roadmaps for scaling large language models without overspending. Discover cost-saving strategies, hardware choices, and why smaller models often outperform giants.
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Scaling for Reasoning: How Thinking Tokens Are Rewriting LLM Performance Rules
Thinking tokens are changing how AI reasons - not by making models bigger, but by letting them think longer at the right moments. Learn how this new approach boosts accuracy on math and logic tasks without retraining.
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Model Lifecycle Management: Versioning, Deprecation, and Sunset Policies Explained
Learn how versioning, deprecation, and sunset policies form the backbone of responsible AI. Discover why enterprises use them to avoid compliance failures, reduce risk, and ensure model reliability.
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Pipeline Orchestration for Multimodal Generative AI: Preprocessors and Postprocessors Explained
Pipeline orchestration for multimodal AI ensures text, images, audio, and video are properly preprocessed and fused for accurate generative outputs. Learn how preprocessors and postprocessors work, which frameworks lead the market, and what it takes to deploy them.
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