~/talk

AI and Machine Learning for developers

Talkat Google I/O 2022 · 2022-05-11..05-12· [machine-learning, large-language-models]
links:none on file
name:Diane Wu
links:none on file
slides:none on file

Overview of concrete tooling and results: Google showcases dataset and preprocessing stacks like TensorFlow Datasets, bias‑analysis with Know Your Data, and interactive model probing via LIT with TCAV. Training and deployment get specific: Colab free GPUs and TPUs for students, Cohere cuts training time by 70% on TPU v4, and ScaNN powers on‑device similarity search. Mobile/edge tooling includes TensorFlow Lite Model Maker, TF Serving, a Model Card Generator, and TF Lite in Play Services serving 400M monthly users with 20B daily inferences.

AI-written summary · about

  1. 0:00Introduction
  2. 2:54Data
  3. 8:53Training
  4. 14:09Deployment
  5. 18:14Outro
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