import SocialEmbed from "../../../../components/SocialEmbed.astro";


# Gemma now available in KerasNLP collection, Signal Input in developer preview, and more dev news!

<SocialEmbed platform="youtube" id="k5DouVmByEQ" />

## Description

TL;DR 381  | The Google Developer News Show

0:00 - Intro 
0:08 - Signal inputs now in preview for Angular devs! → https://goo.gle/4a7Pdv5 
0:39 - Gemma is now available in the KerasNLP collection → https://goo.gle/43gi8uA  
1:02 - Croissant, a new metadata format for ML datasets → https://goo.gle/3PgtGbG 
1:49 - MediaPipe now supports LLM inference and image generation → https://goo.gle/3v3y331  

Here to bring you the latest developer news from across Google is Rody Davis.Tune in every week for a new episode, and let us know what you think of the latest announcements in the comments below.

Follow Google for Developers on Instagram → https://goo.gle/googledevs

Watch more The Developer Show → https://goo.gle/GDevShow
Subscribe to Google for Developers → https://goo.gle/developers

#Google #Developers

Speaker: Rody Davis; 
Products Mentioned: Material Design - General, Angular - General;

## Transcript

### Intro

**0:00** · \[MUSIC PLAYING\] RODY DAVIS: Hi.

**0:03** · I'm Rody for "The Developer Show".

**0:04** · And this is your weekly update on the coolest developer news from Google.

**0:07** · Starting with Angular, signal inputs are now in developer preview.

### Signal inputs now in preview for Angular devs!

**0:11** · Signals provide a powerful reactivity model that enables you to efficiently monitor changes, derive values, while automatically notifying Angular when any specific part of your application needs to be rerendered.

**0:23** · Signal inputs can also improve your application by automatically marking OnPush components dirty, being more type safe, and can be derived and used in other signals.

**0:32** · This can also be easily monitored when using effects.

**0:36** · You can learn more on the Angular blog.

### Gemma is now available in the KerasNLP collection

**0:39** · Next, let's head over to Google AI.

**0:41** · The Keras team is happy to announce that Gemma is now available in the KerasNLP collection.

**0:46** · Thanks to Keras 3, Gemma runs on Jax, PyTorch, and TensorFlow.

**0:50** · Keras is also introducing two new features, a new LoRa API, or low-rank adaptation, and a large-scale model parallel training capability.

**0:58** · If you want to learn more, check out the Google for Developers blog.

### Croissant, a new metadata format for ML datasets

**1:02** · If you're a machine learning practitioner looking to reuse existing data sets to train ML models, you'll probably spend a lot of time understanding data, making sense of its organization, and figuring out which subsets to use as features.

**1:14** · ML data sets cover a broad range of content types, including text and structured data to images and video.

**1:21** · There are some general-purpose metadata formats for data sets.

**1:24** · But these were mostly designed for discovery.

**1:26** · Today, we're introducing Croissant, which is a new metadata format ready for ML data sets.

**1:32** · It was developed collaboratively by a community of industry and academia as part of the ML Commons effort.

**1:37** · Starting off, it will support three popular collections of ML data sets-- Kaggle, HuggingFace, and OpenML.

**1:43** · To learn more about the 1.0 release of Croissant, check out the Google research blog.

**1:48** · And finally, MediaPipe now supports two new generative AI tasks, including LLM inference and image generation.

### MediaPipe now supports LLM inference and image generation

**1:54** · The LLM inference API supports Gemma 2B and can run on-device generative AI text-to-text generation.

**2:01** · You can learn more about MediaPipe on developers.google.com.

**2:05** · To learn more about all these week's stories, make sure to check the description box below for all the links.

**2:10** · Please remember to like, subscribe, share, and stay safe.

**2:13** · I'm Rody for "The Developer Show."

**2:14** · Thanks for watching.

**2:15** · And we'll see you next week.

**2:17** · \[MUSIC NOTE\]