We ensure that you remain true to your creative vision! Before We Start It’s crucial to remember that AI is not just a single field of study. From a summarized perspective, it began in the 60s, and since then, numerous subfields have emerged for exploration. These include: Privacy: Questioning the boundaries of data usage, Security: How these boundaries impact our safety and Philosophy: Pondering the ethical considerations and implications of AI.
AI subfields overtime One of these subfields is Generative AI, which has been chemical manufacturers email lists under research for several years. It’s natural to wonder: If it’s not exactly new, what was the pivotal change that brought AI into the spotlight? The answer is undoubtedly ChatGPT. Making AI accessible and user-friendly has revolutionized how we interact with technology, democratizing its use across a broad audience. This approachability is a significant factor behind its explosive growth, notably achieving one million users in just under four days.
Its simplicity and speed in content generation have set a new standard for digital tools. Source: explodingtopics.com While it appears remarkably “easy” to prompt an AI to generate content, the critical question arises: Will the output meet the standards of your audience? This convenience carries with it significant responsibility, leading us to confront a pivotal concern in the realm of generative AI: The phenomenon of hallucination. Do Not Let AI Hallucinate! AI hallucination occurs when an AI system produces incorrect or imaginary information, as explained by Russell and Norvig in Artificial Intelligence: A Modern Approach.