Sharbani Roy
@sharbani
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former but still-at-heart chicagoan finding meaning at the intersection of food, wanderlust, & tech while laying roots on the west coast.
SF ✈ SEA
Joined June 2009
Regular pulse-taking. What backend are you using Keras 3 with?
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In last week's Google I/O Dev Keynote, I represented my teammates accomplishments onstage, talking about advancements in our #Gemmaverse of open models, #GoogleAIEdge (incl #TFLite support for PyTorch), #Keras3 (multi-framework support) & more. https://t.co/yUbB9jWbch
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If you missed it, this I/O session on LLMs with Keras 3 is a great tutorial on LLM training and fine-tuning best practices
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Gemini 1.5 Model Family: Technical Report updates now published In the report we present the latest models of the Gemini family – Gemini 1.5 Pro and Gemini 1.5 Flash, two highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information
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I see lots of excitement over iOS 18 allegedly having eye tracking. Meanwhile, I've been working on this... https://t.co/DsjBkLAM5e
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Publish your models directly from Keras to @huggingface 🔥 I've been wanting to do this for the longest time – basically for as long as i've used Keras. (Fun fact: our chatbot back in 2016 had many parts that were powered by Keras.) The ability to natively load from/to the Hub
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bard is running on a new model called gemini pro. it's pretty good! try it now:
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The Gemini era is here. Thrilled to launch Gemini 1.0, our most capable & general AI model. Built to be natively multimodal, it can understand many types of info. Efficient & flexible, it comes in 3 sizes each best-in-class & optimized for different uses https://t.co/VUu1277bC2
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!! Congrats @fchollet & team on releasing Keras 3.0 that "enables you to run your Keras workflows on top of either JAX, TensorFlow, or PyTorch." This is game changing!
Big news: we just released Keras 3.0! ▶ Run Keras on top of JAX, TensorFlow, and PyTorch ▶ Train faster with XLA compilation ▶ Unlock training runs with any number of devices & hosts via the new Keras distribution API It's live on PyPI now! 🚀
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Follow along as #AI DevRel Lead @jocarrasqueira shares three major reasons to join this year's #WIMLsymposium 👀▶️ Register today 🤩 → https://t.co/RbGdSfP0KD
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🩺 Google’s Health AI team is researching ways to make maternity safer through low-cost, AI-powered ultrasound assessment with TensorFlow Lite. 📲 Learn how this team uses TFLite to develop ultrasound tools designed to expand access to care ➡️ https://t.co/NvukbuVSDO
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📸 Bard ( https://t.co/FycdN2l1HQ) starts its image journey today 📸 The first of many features we discussed at I/O is live right now: images in responses. Enjoy some extra visual flair to help you imagine more possibilities. Click an image to see the source for each one. 1/
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Start playing w/ #visualblocks today! It's the new super-easy-to-use graphical programming framework for rapid prototyping and experimentation! Learn more from Jason's overview video below:
#VisualBlocks from #Google is an open source graphical programming framework for rapid prototyping and experimentation of production ideas powered by machine learning. Learn how to use it in my brand new how to video right here: https://t.co/MNZ4atLZUG
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Yesterday at #GoogleIO I spoke about just a few of our team's recent innovations along ML workflows, including #LargeModel tooling and our new #KerasCV and #KerasNLP offerings. Missed it? Check out the replay here:
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Have you played #FlipWithGoogle? Take a break and give your brain a different kind of workout with this AI-designed card game, built for #GoogleIO!
🃏✨ #FlipWithGoogle is a modern AI take on a classic card game that uses generative AI and Google’s developer products to create custom cards for players to challenge each other. Check it out → https://t.co/rE05rHbv3V
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We’re in the final stretch to #GoogleIO! 🥳 Tune in this Wednesday, May 10 at 10am PT for all our latest news, updates and demos → https://t.co/BJCe4w8BPR
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Visual Blocks for ML is now ready for developer playtime! Let us know what you dream up: https://t.co/89UHUbBapZ
#VisualBlocks #TensorFlow #GoogleIO #webML
visualblocks.withgoogle.com
Drag and drop off-the-shelf ML components with Visual Blocks. A fast, easy way to prototype ML pipelines – no expertise or coding required.
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#GoogleIO is one week away! Tune in to the Developer Keynote where I’ll talk about Google's developer products, solutions, and technology. Here are some tips from @timothyjordan for how to get the most out of your experience.
Time to get ready for Google I/O! https://t.co/Rgtuv04Bdg via @google
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#GoogleIO is almost here! 🥳 Tune in on May 10 at 10am PT to see what’s new in Android, hardware and more → https://t.co/BJCe4w8BPR
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