The article discusses essential AI terms beyond the core concepts, particularly focusing on Generative AI (GenAI), which is at the forefront of most conversations. GenAI is responsible for creating diverse outputs like text, images, and music, in contrast to other forms of AI like discriminative or predictive models. The article also highlights critical issues such as AI hallucinations, where models misrepresent information as facts, and the challenge of aligning AI presentations with user expectations and truths, emphasizing the importance of understanding these dynamics for fruitful discussions on AI.
Generative AI generates text, images, video, and more, distinguishing itself from other types of AI like discriminative, predictive, and reinforcement learning.
Hallucinations in AI refer to incorrect responses presented as factual, raising concerns about reliability as these models do not inherently 'know' facts.
The instruction tuning of AI models often makes erroneous answers appear authoritative, which can mislead users into believing inaccuracies.
Understanding the differences between Generative AI and other AI types provides clarity in discussions surrounding AI's capabilities and limitations.
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