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.
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What’s new in TensorFlow 2.16
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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!
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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
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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
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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
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Watch new videos explaining how to use the KerasNLP and KerasCV libraries for applications including:
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Make datasets easier to find and use with Croissant
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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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Stay Connected
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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
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