Companies invested $12.8B solving AI hallucinations, yet 42% abandon projects. Google Gemini achieves 0.7% error rates while OpenAI's models hit 48%. Learn how OpenEvidence ($200M raise, $6B valuation) and Vectara (<1% hallucinations) are winning with accuracy-first strategies. Discover the three-tier implementation framework separating AI winners from the $190B destruction club. Data-driven analysis with 25+ sources.

Large vs small language models compared: costs, performance, and business ROI. Discover why 68% of enterprises achieve faster ROI with specialized SLMs, while LLMs excel at creative tasks. OpenEvidence AI scored 90% vs ChatGPT's 59% in medical licensing exams. Learn how hybrid AI strategies combining both model types deliver superior results. Complete 2025 guide covering when to use LLMs, when SLMs outperform, market growth projections, and strategic recommendations for building intelligent AI ecosystems.