Overview

Break Free from Proprietary Lock-In and Future-Proof Your AI StrategyIn The SLM Migration, you will discover the strategic blueprint for transitioning your organization from heavy reliance on OpenAI to a flexible, vendor-neutral AI architecture. As the era of massive, expensive LLMs evolves, the most successful enterprises are shifting toward Small Language Models (SLMs) to gain control over their data, their costs, and their intellectual property. This book is a comprehensive guide for CTOs, AI engineers, and business leaders who want to build high-performance AI systems without being tethered to a single API provider. Learn how to leverage open-source weights, private cloud deployments, and specialized local models to achieve superior results at a fraction of the cost. Inside this guide, you will find: The SLM Advantage: Understand why smaller, fine-tuned models often outperform massive general-purpose models for specific enterprise tasks. Step-by-Step Migration: A proven framework for porting your existing OpenAI workflows to open-source alternatives like Llama, Mistral, and Phi. Data Sovereignty: Strategies for securing your proprietary data through on-premise and private-cloud SLM hosting. Cost Engineering: Real-world techniques to reduce inference costs by up to 90% while improving response latency. Architecting for Neutrality: How to build an abstraction layer that ensures your AI stack remains provider-agnostic. Stop being a customer and start being an owner. The SLM Migration is your roadmap to the next generation of sovereign, efficient, and scalable artificial intelligence.

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