Beyond General-Purpose LLMs: The New Model Landscape Takes Shape
Description
This IDC Perspective looks at the enterprise AI model landscape that is rapidly diversifying beyond general-purpose LLMs, with small, multimodal, domain-specific, and regionally optimized models filling critical gaps. This expansion introduces new complexities in model selection, sourcing, and governance, requiring enterprises to develop robust competencies in evaluation, architecture, and orchestration. Global competition is intensifying, and success hinges on aligning AI model strategies with business objectives, leveraging composite AI, and adopting flexible, AI-ready data architectures to optimize value and performance."As enterprises enter a multi-model, multimodal, multiagent era, the real question is: How will you navigate the expanding constellation of AI models to unlock business value?" — Tim Law, research director, AI and Automation, IDC
Table of Contents
22 Pages
Executive Snapshot
Key takeaways
Recommended actions
Situation Overview
"Model choice" wins
Multi-model, multimodal, and multiagent
Beyond transformers: New model architectures
Composite AI
Managing model landscape complexity
Model selection: A new context
Model sourcing: Gardens, hubs, studios, and managed services
Model routing
Model registries and AI gateways
Providing context: AI-ready data architecture
The expanding global model landscape
United States and Canada
China
Europe
India and Southeast Asia
Advice for the Technology Buyer
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Related research
Synopsis
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