Faster Dynamically Quantized Inference with XNNPack
XNNPack’s Fully Connected and Convolution 2D operators now support dynamic range quantization. XNNPack is TensorFlow Lite’s CPU backend.
TensorFlow Blog7 min read
TensorFlow
81 stories
Chat with AI in RStudio
Interact with Github Copilot and OpenAI's GPT (ChatGPT) models directly in RStudio. The `chattr` Shiny add-in makes it easy for you to interact with these and other Large Language Models (LLMs).
RStudio AI Blog7 min read
What's new in TensorFlow 2.16
TensorFlow 2.16 has been released. Highlights include Clang as default compiler for building TensorFlow CPU wheels on Windows, and more.
TensorFlow Blog3 min read
Croissant: a metadata format for ML-ready datasets
Machine learning (ML) practitioners looking to reuse existing datasets to train an ML model often spend a lot of time understanding the data, making sense of its organization, or figuring out what subset to use as features.
Google Research (Legacy)6 min read
Graph neural networks in TensorFlow
Posted by Dustin Zelle, Software Engineer, Google Research, and Arno Eigenwillig, Software Engineer, CoreML Objects and their relationships are ubi...
Google Research (Legacy)7 min read
Graph neural networks in TensorFlow
Announcing the release of TensorFlow GNN 1.0, a production-tested library for building GNNs at Google scale, supporting both modeling and training.
TensorFlow Blog8 min readTensorFlow 2.15 update: hot-fix for Linux installation issue
We are releasing a hot-fix for an installation issue affecting the TensorFlow installation process.
TensorFlow Blog2 min read
Half-precision Inference Doubles On-Device Inference Performance
We are pleased to announce the general availability for half-precision inference in TensorFlow Lite and XNNPack.
TensorFlow Blog5 min readWhat's new in TensorFlow 2.15
TensorFlow 2.15 has been released! Highlights include a much simpler installation method for NVIDIA CUDA libraries for Linux and more.
TensorFlow Blog3 min read
Simulated Spotify Listening Experiences for Reinforcement Learning with TensorFlow and TF-Agents
Spotify shares how they use TensorFlow and Reinforcement Learning to train models offline, translating results to large scale, online performance.
TensorFlow Blog9 min read
Building a board game with the TFLite plugin for Flutter
Build a Flutter board game with the official TensorFlow Lite plugin for Flutter
TensorFlow Blog3 min read
Pre-processing temporal data made easier with TensorFlow Decision Forests and Temporian
Temporian is a new library that makes it easy to clean and prep your data for forecasting, so you can focus on the fun stuff, like building models.
TensorFlow Blog8 min read
Distributed Fast Fourier Transform in TensorFlow
TensorFlow gains experimental support for Distributed FFT via DTensor.
TensorFlow Blog4 min read
The TensorFlow Lite Plugin for Flutter is Officially Available
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
TensorFlow Blog4 min read
Simpleperf case study: Fast initialization of TFLite’s Memory Arena
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
TensorFlow Blog8 min readWhat's new in TensorFlow 2.13 and Keras 2.13?
TensorFlow 2.13 has been released! We're highlighting the new Keras V3 format as default for .keras extension files and much more!
TensorFlow Blog4 min read
Hugging Face Integrations
Hugging Face rapidly became a very popular platform to build, share and collaborate on deep learning applications. We have worked on integrating the torch for R ecosystem with Hugging Face tools, allowing users to load and execute language models from their platform.
RStudio AI Blog4 min read
Understanding LoRA with a minimal example
LoRA (Low Rank Adaptation) is a new technique for fine-tuning deep learning models that works by reducing the number of trainable parameters and enables efficient task switching. In this blog post we will talk about the key ideas behind LoRA in a very minimal torch example.
RStudio AI Blog7 min read
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