The impact of Generative AI in different industries
summary
Panel gives concrete takeaways: Adobe reports 3 billion images generated since March and Photoshop’s Generative Fill becomes its top feature, Firefly adds vector and layered editable outputs; infrastructure notes include H100 with 900 GB/s NVLink/InfiniBand and GPU-optimized stacks (NeMo) powering partners and startups like Together AI’s $100M raise; common failures are hallucination, copyright and bias risks, and costly compute; practical fixes shown are licensed-training-data + indemnification, topical/safety/security guardrails, retrieval-augmented grounding, and on‑device/privacy deployment strategies.
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chapters (13)
- 0:00Introduction
- 0:27What is Generative AI
- 5:58Ethical Considerations
- 8:16Challenges and Limitations
- 11:01Generative AI in Healthcare
- 13:33Data Privacy and Security
- 15:49Creative Industry
- 18:44Creative Challenges
- 21:17Use Cases
- 25:14Infrastructure
- 30:42Safety and Bias
- 34:37Regulation
- 37:31Model Quality
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