Panel: The Future of AI
summary
Panelists report concrete advances: teams train a 530B-parameter model with NeMo/Megatron on Azure using NVIDIA A100 clusters and InfiniBand, and roadmap H100 Tensor Core GPUs and Superpod architectures to scale to trillion-parameter models. Production tooling includes Azure Machine Learning, interpret-ml and Fairlearn, PyTorch/TensorFlow and Ray for fine-tuning, plus domain wins in image-driven drug discovery. Microsoft publishes a Responsible AI standard, mandates impact assessments and controls (for example gating custom neural voice), and emphasizes full-stack hardware‑software validation.
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chapters (6)
- 0:00Welcome and introductions
- 0:45Panelist backgrounds
- 5:51Current state of AI
- 14:14The next decade of AI
- 20:08Industry evolution and AI
- 23:04Responsible AI practices
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