Dispelling Myths: Lessons from Leading a Year of Generative AI Initiative (Part 3)
In the final section, I would like to share another important point, conclude the article, and provide some recommendations. If you haven’t read the previous two parts, you can find them here: 9. How You Communicate with AI Matters AI doesn’t “think” like humans; it processes inputs based on patterns and probabilities. How you ask […]
Dispelling Myths: Lessons from Leading a Year of Generative AI Initiative(Part 2)
This is the second part of the Dispelling Myths: Lessons from Leading a Year of Generative AI Initiative (Part 1), and I am sharing my observations and experiences regarding how Generative AI operates, alongside myths and facts from the leading Generative AI initiative. If you haven’t read the first part, I recommend starting with that. […]
Dispelling Myths: Lessons from Leading a Year of Generative AI Initiative (Part 1)
After spending a year immersed in testing Generative AI (artificial intelligence) models, gathering data, and deploying solutions, I’ve encountered numerous assumptions about this specific technology of AI. Some believe it will entirely replace humans, while others consider it flawed or intimidating. Over the past year, we subjected our models to extensive validation. We used diverse […]