AI or ML: Which One Actually Matters?

Vlad Kolesnikov, an AI/ML expert from Google, provides a clear explanation of the distinction between AI and machine learning and explores exciting developments shaping the future of AI. These include multimodal interaction, which allows AI systems to process various forms of input like text, images, and audio, and the rise of AI agents—intelligent systems designed to perform specific tasks. Vlad also emphasizes the critical role of well-annotated data models in ensuring the effectiveness of these advanced AI systems and offers guidance for developers seeking to enter the AI/ML field.

Watch now to hear Vlad share:

1. How machine learning uses data to learn and the difference between it and AI
2. How multimodal interaction (text, images, audio) is changing AI
3. The role of AI agents in tackling complex tasks
4. Why well-annotated data models are essential for effective AI solutions
5. Advice for developers interested in AI/ML specializations

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