Reaktor's training material contributions on ITEA IML4E project
https://www.reaktor.com/articles/mlops-making-machine-learning-production-work https://www.reaktor.com/articles/why-some-ai-projects-succeed-while-others-fail https://www.reaktor.com/whitepaper/mastering-a-genai-transition-from-poc-to-production https://www.reaktor.com/articles/five-things-we-ve-learned-developing-genai-applications https://www.reaktor.com/articles/data-meets-business-lessons-learned-the-hard-way https://www.reaktor.com/articles/llms-are-turning-science-fiction-to-science-reality-a-case-in-healthcare
Text: https://www.reaktor.com/articles/crafting-llm-powered-interactions-design-principles-for-natural-language-user-interfaces Accompanying slides:
https://www.reaktor.com/articles/ai-is-a-solution-in-search-of-a-problem https://www.reaktor.com/articles/train-yourself-not-the-model-a-designer-s-view-on-language-models https://www.reaktor.com/articles/designing-disruptive-genai-services https://www.reaktor.com/articles/designing-with-prompts-ai-s-impact-on-the-creative-process