Mario Maljak

Jan 7, 2025 | elixirrdigital.com | Igor Jonjic |Mario Maljak

Generative AI models like ChatGPT and Claude have become powerful tools for tackling a variety of challenges, but effectively harnessing their capabilities requires careful prompt engineering. Imagine asking an AI to analyse thousands of documents for a crucial business decision, only to receive irrelevant or vague answers. Generative AI models like GPT and Claude hold immense potential for such tasks – but only when guided by precise and thoughtful prompts.

Jan 7, 2025 | elixirrdigital.com | Mario Maljak |Igor Jonjic |Daniel Bonasin

Patient education and engagement are more critical than ever, especially for those managing atrial fibrillation (AFib). Traditional methods often fall short in providing personalised, on-demand information while ensuring safety and maintaining engagement. According to industry research, annual healthcare spending in the U.S. alone is projected to reach $6.8 trillion by 2030*, underscoring the urgent need for innovative solutions in chronic disease management.

Jan 7, 2025 | elixirrdigital.com | Daniel Bonasin |Mario Maljak |James Carr

Large language models (LLMs) have gained popularity across various domains, serving as virtual assistants, coding assistants, and even supporting learning and research. As coding assistants, they’re great for generating code, debugging issues, creating documentation, and automating repetitive tasks. However, despite their strengths, these models are not quite ready to replace human programmers.