Curious about deploying Large Language Models at scale? At the InfoQ podcast, Meryem Arik shares: * Why mid-size companies are embracing self-hosted LLMs * The secret sauce for state-of-the-art RAG applications * How to slash LLM deployment time by 2-3 months 🔑 Key Takeaways: 1️⃣ Focus on data pipelines, not just model selection 2️⃣ Leverage 4-bit quantization for better performance 3️⃣ Prioritize regulatory alignment in AI governance 💡 "We probably have around a decade of enterprise innovation to unlock with current LLM tech." - Meryem Arik Ready to revolutionize your AI strategy? Read the full article and listen to the podcast in the comments below 👇🔗 #AIDeployment #MachineLearning #EnterpriseAI
Dylan G.
3w
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🔗 https://www.titanml.co/resources/insights-from-titanmls-meryem-arik-on-self-hosting-rag-and-scalable-ai-infrastructure