Josh Gordon (@random_forests) - Hồ sơ Twitter

Josh Gordon@random_forests·12 Kas

New Kaggle competition. Add reasoning capabilities to a small Gemma model using Tunix (a new popular RL library in JAX). This is really great, thanks to Wei on my team + many others for driving it. Check it out!

Kaggle@kaggle

📣 Hackathon Launch Alert! Google Tunix Hack - Train a Model to Show Its Work hosted by @googlecloud 🎯 Train Gemma models to show reasoning using Tunix 💰 $100,000 Prize Pool ⏰ Final Submission: Jan 12, 2026 kaggle.com/competitions/g…

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Josh Gordon@random_forests·22 Tem

New function calling guide with Gemma 3 & KerasHub -- really nice to be able to run locally.

Samaneh Saadat@smn_sdt

Function calling guide for Keras!

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Divyashree Sreepathihalli@divyasheess·18 Tem

KerasHub now includes HGNetV2! We’re excited to bring the high-efficiency, high-accuracy HGNetV2 image classification backbone into KerasHub’s model family. Model details and quickstart notebook are available on Kaggle: kaggle.com/models/keras/h… #keras #kerashub #HGNet

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Cristian Garcia@cgarciae88·16 Tem

The JAX team is hosting a dinner / networking event during ICML on Thursday. Join us for an evening of food, drinks, and discussion of all things JAX. @SingularMattrix and other JAX team member will be attending. Please register early as capacity is limited. RSVP: rsvp.withgoogle.com/events/jax-at-…

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Mark McD ☠@m4rkmc·4 Tem

🎬 Generate videos with the Gemini CLI Add: 🧑‍💻 GenMedia MCP servers for Imagen, Veo & Chirp 📝 A GEMINI܂md file explaining your ✨ creative process And you too can take 🙀 Rusty the Cat on an adventure ⬇️ Full tutorial in the vid ⬇️

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Google AI Developers@googleaidevs·1 Tem

Some interesting Gemini CLI use cases and tutorials 🧵⬇️

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Abheesht Sharma@penstrokes75·27 Haz

We’re building Keras Recommenders at Google, and would love to hear from people working in RecSys to understand what they need. What features matter most to you? DMs are open, feel free to reach out! keras.io/keras_rs/

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Josh Gordon@random_forests·26 Haz

People are getting monster offers to work on LLMs behind closed doors, and meanwhile this team from Stanford is doing everything in the open and making it available to everyone. Open science all the way!

Percy Liang@percyliang

Open development of language models in action!

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Josh Gordon@random_forests·25 Haz

It was *so good* seeing everyone at the JAX and OpenXLA DevLab this week! Best event in a long time. Let’s do it again!

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Mark McD ☠@m4rkmc·25 Haz

I am PUMPED to finally share what we’ve been working on: 🖥️ Introducing the Gemini CLI! It can code, sure, but with access to your system shell, files and MCP servers, it can also: 👩‍🔬 Do research 💽 Organise your MP3s 🪾 Resolve rebases 🔬 Even strace that weird hung process Check it out: goo.gle/gemini-cli And I REALLY want to see how it helps you, so tag or share your workflows here!

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Josh Gordon@random_forests·25 Haz

Here's more detail on how to load a Hugging Face checkpoint into a KerasHub model. Thanks for the walkthrough, @yufengg , @divyasheess, and @monicadsong ! developers.googleblog.com/en/load-model-…

Josh Gordon@random_forests

You can find performance & scale optimized JAX models in MaxText and MaxDiffusion: * github.com/AI-Hypercomput… * github.com/AI-Hypercomput… You can also use Keras / JAX to tune many Hugging Face Transformers model checkpoints by loading them into a KerasHub model. It's pretty cool! * huggingface.co/blog/keras-hub… * keras.io/keras_hub/pres…

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Josh Gordon@random_forests·25 Haz

@shresbm @thechrisperry @simpsoka @VNallatamby This is really great!

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Shrestha Basu Mallick@shresbm·25 Haz

This is emotional for me having built the first version of the data science agent that got released in Colab along with @thechrisperry @simpsoka @VNallatamby Jane FIne and others. And that was about a year ago. Incredible how far the team has come since then! Congrats!

Colaboratory@GoogleColab

The new AI-first Colab is now generally available ✨🤝🧡 This version has an agentic collaborator run with Gemini 2.5 Flash, and enhances productivity with features like iterative querying, a next-gen data science agent, code transformation, and more to significantly improve coding workflows for developers.

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Josh Gordon@random_forests·25 Haz

@cgarciae88 100% back! Best event in a long time, felt like old times. The JAX team is killing it. Let’s scale up and do it again! (Also the healthcare research breakout was extremely cool).

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Cristian Garcia@cgarciae88·25 Haz

devlabs was the best jax event to date, tons of great talks and updates from jax, pallas, flax, maxtext, grain, orbax, tunix. many attendees from nvidia, amd, AI labs and startups, tech companies, academia, and GDE's. jax usage is growing in very important areas! pallas is 🚀

bilinear form@humphilomath

@cgarciae88 Any highlights?

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Samaneh Saadat@smn_sdt·17 Haz

KerasHub supports loading checkpoints of many model architectures from HuggingFace. So if there is a model checkpoint on HF that is not in the Keras format, you can easily load it in Keras and use it as a regular Keras model in any backends (JAX, TF, or PyTorch).

Josh Gordon@random_forests

You can find performance & scale optimized JAX models in MaxText and MaxDiffusion: * github.com/AI-Hypercomput… * github.com/AI-Hypercomput… You can also use Keras / JAX to tune many Hugging Face Transformers model checkpoints by loading them into a KerasHub model. It's pretty cool! * huggingface.co/blog/keras-hub… * keras.io/keras_hub/pres…

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François Chollet@fchollet·17 Haz

If you're running JAX and you need to grab a model checkpoint from HuggingFace, KerasHub has you covered. Load, fine-tune, quantize, export for inference.

Josh Gordon@random_forests

You can find performance & scale optimized JAX models in MaxText and MaxDiffusion: * github.com/AI-Hypercomput… * github.com/AI-Hypercomput… You can also use Keras / JAX to tune many Hugging Face Transformers model checkpoints by loading them into a KerasHub model. It's pretty cool! * huggingface.co/blog/keras-hub… * keras.io/keras_hub/pres…

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Josh Gordon@random_forests·17 Haz

You can find performance & scale optimized JAX models in MaxText and MaxDiffusion: * github.com/AI-Hypercomput… * github.com/AI-Hypercomput… You can also use Keras / JAX to tune many Hugging Face Transformers model checkpoints by loading them into a KerasHub model. It's pretty cool! * huggingface.co/blog/keras-hub… * keras.io/keras_hub/pres…

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Josh Gordon@random_forests·17 Haz

Really excited for the upcoming JAX & OpenXLA DevLab this Monday! This is a small group deep dive on the latest techniques, with breakouts on special interests. We'll record the tutorials for everyone, too. Opportunity: If you're interested in *healthcare research* with JAX / LLMs, we have a couple more seats available at that breakout. Send me a DM here if you'd like to attend. openxla.org/events/summer_…

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Josh Gordon@random_forests·9 Haz

11/ You can find lots more examples in quickstarts folder in the cookbook. Also check out the developer docs on ai.google.dev/gemini-api/docs for lots more walkthroughs, and code examples for JS developers. If you have questions or run into bugs, the best place to ask them is on discuss.ai.google.dev/c/gemini-api/4 Have fun!

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Josh Gordon@random_forests·9 Haz

10/ You can play the audio right in Colab. There's also a neat example that prompts the model to read a discussion between two speakers, like NotebookLM. Add your own prompts and see what the model can do.

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Josh Gordon@random_forests·9 Haz

Yes! And you can start developing with the Gemini Developer API in just a couple minutes. If you're just getting started, here's a quick walkthrough that shows you how to get your API key and run a neat audio generation example in Colab. 1/ Visit aistudio.google.com to get your API key

Sundar Pichai@sundarpichai

1/ A quick recap from another week of rapid shipping: Great response to our Gemini 2.5 Pro update now in preview. Find it in AI Studio, Vertex + @GeminiApp. And good news for @GeminiApp Pro plan members: your 2.5 Pro limit doubled from 50 to 100 queries per day.

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