Keynote: What's New in AI
Talkat Cassandra Summit 2023 · on Wednesday, 2023-12-13· at 14:10· Grand Ballroom BC (Concourse Exhibit Level)·
summary
Overview of concrete advances: attention Transformers (2017) enable longer-context models, hardware like TPUs (2015) and GPUs scale training to models with tens of billions of parameters, training techniques like RLHF improve judgment, and open ecosystems (Hugging Face, TensorFlow, PyTorch) speed iteration. Examples: AlphaFold predicts ~200 million protein structures, Google product names include PaLM, LaMDA, Gemini and a Gemini Nano optimized for on‑device inference with deterministic latency, plus Duet AI, Vertex AI and Caris 3.0 for large‑scale training and deployment.
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chapters (12)
- 0:00AI innovations and human needs
- 1:03Large language models and impact
- 2:08Traditional programming to neural networks
- 3:09How LLMs learn and scale
- 4:54Computational power and data advances
- 6:16Techniques for model performance
- 7:44No-code AI access
- 8:48Device-based AI optimization
- 9:32Responsible AI applications
- 9:52Google’s AI products
- 10:54Introducing Gemini
- 11:35AI’s future and human impact
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