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Explore how fine-tuning transforms general-purpose Large Language Models into reliable, domain-specific tools through this 39-minute conference talk from MLOps World. Learn why standard LLMs like GPT struggle with specialized applications, examining real-world failures in healthcare where AI generated hallucinations when interpreting medical terminology, and legal cases where ChatGPT fabricated non-existent citations that attorneys unknowingly submitted. Discover the serious risks these reliability gaps create, from misdiagnosis and misinformation to privacy violations and legal missteps in mission-critical applications. Understand how fine-tuning addresses these challenges by adapting general models to specific tasks and industries, improving accuracy and reliability while reducing computational costs and strengthening privacy safeguards. Gain insights from Dr. Walid Amamou, CEO of UbiAI Inc, who brings expertise from nanotechnology research to AI applications, having transitioned from a Ph.D. in Materials Science studying graphene spintronics to developing semiconductor devices at Intel, and now leading a platform that trains language AI models for Fortune 500 companies across finance, healthcare, and supply chain industries.
