March 2024

March 2024

Read updates from the new release, run LLMs on-device with MediaPipe LLM Inference API (experimental), learn how ML can reduce operational costs, and more.

What’s new in TensorFlow 2.16
Updates include Clang as default compiler for building TensorFlow CPU wheels on Windows, Keras 3 as default version, support for Python 3.12, and more!
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Google I/O is back!
Join us online on May 14 to discover, innovate, and unlock new possibilities with AI and all of Google’s latest developer tools.
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How Tokopedia reduced operational costs using ML for identity verification
The team at Tokopedia decided to use MediaPipe and TensorFlow.js's Face Detection library to detect a user’s face with six key points during the seller onboarding process.
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Run large language models on-device with MediaPipe and TensorFlow Lite
The new experimental MediaPipe LLM Inference API includes performance optimizations such as quantization, caching, and weight sharing to run LLMs on Web, Android, and iOS with low latency.
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Learn applied ML with KerasNLP and KerasCV
Watch new videos explaining how to use the KerasNLP and KerasCV libraries for applications including:
Object detection
Image data augmentation
Text generation
Text classification
Watch the overview
Make datasets easier to find and use with Croissant
Use TensorFlow Datasets CrossaintBuilder to define Croissant metadata, a format that builds upon schema.org structure and combines resource file descriptions, data structure, and default ML semantics into a single file.
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