Muse Spark 1.1 by @Meta achieves an impressive 8-position rank increase from Muse Spark 1.0
It is the 5th lab overall on DesignArena, with an Elo of 1312
The Muse Spark model also debuts strong performance in Slides creation, data viz, and UI components - see more in the following thread
Congrats to the @Meta team for this achievement!
We’re excited to introduce Muse Spark 1.1, a significant upgrade from the first Muse Spark model we released earlier this year.
Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1.
The model is also available now in "Thinking" mode in the Meta AI app and on https://t.co/wHkMPH82ZH.
Learn more: https://t.co/zGcA3XaWpN
This is Gemini 3: our most intelligent model that helps you learn, build and plan anything.
It comes with state-of-the-art reasoning capabilities, world-leading multimodal understanding, and enables new agentic coding experiences. 🧵
Our new Gemini 2.5 Computer Use model can navigate browsers just like you do. 🌐
It builds on Gemini’s visual understanding and reasoning capabilities to power agents that can click, scroll and type for you online - setting a new standard on multiple benchmarks, with faster speed.
Today, we’re introducing our latest PaLM model, PaLM 2, which builds on our fundamental research and our latest infrastructure. It’s highly capable at a wide range of tasks and easy to deploy. We’re announcing more than 25 products and features powered by PaLM 2 today. #GoogleIO
@Zergylord@shaohua0116 I'm guessing it's just something emotional? From a rational perspective, I'm guessing this gives an idea how the code is distributed (upon request?). I believe op has a pretty good track record on releasing code.
Introducing TracIn, a simple, scalable approach to understand the influence of training data on #MachineLearning models by tracing the changes in prediction as individual training examples are visited during the training process. Learn all about it below: https://t.co/2HFtiKeQbT