Source: Featured Blogs - Forrester
After years of theoretical promise, enterprises are actually deploying fine-tuned language models to solve concrete problems—lower latency, predictable inference costs, and reduced hallucination. Cost-conscious IT buyers are forcing vendors like Anthropic to prioritize optimization tooling and pricing structures that make fine-tuning economically viable at scale, not just technically possible. The shift is from one-size-fits-all foundation models to enterprise-specific variants, narrowing the competitive advantage foundation model providers once held.