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A Beginner’s Guide to LLM-Based AI Deployment Options: Demystifying Cloud, On-Premises, Edge, and Hybrid Solutions
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The integration of Large Language Models (LLMs) like ChatGPT, Claude, and Llama into business operations has moved from “nice to have” to “must have” faster than most organizations anticipated.1 As companies scramble to harness AI’s potential, one foundational decision can determine whether your AI initiative becomes a game-changer or an expensive…
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Merging Strategies for Safer AI: A Dive into Self-Critique
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In the paper Merging Improves Self-Critique Against Jailbreak Attacks (PDF), the authors address how to make language models more resilient against adversarial jailbreak attempts like prompt manipulations intended to bypass a model’s safeguards. They present a method that merges the original model with a specialized critic model, enhancing its ability…
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Transforming Language Models: The Power of Dynamic Routing
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In From Fine-Tuning to Fusion: The Role of Agentic AI in Model Merging, the author explores how agentic AI systems can go beyond traditional fine-tuning by combining multiple specialized language models into a single, more capable whole. The article introduces the idea of model merging—not just blending models arbitrarily, but…
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