Working on something 🫡

Stitch or Figma ???

Now Count AI in #GoogleIO

Just Remove unnecessary documentation features from the landing page of the doc or from the product roadmap as people can't absorb it properly on the first instance as It makes the whole Developer Experience or User Experience like a hell 🙏

#product #devrel

I am understanding a lot of documentation recently and what I got there is too many features implemented and didn't advocate properly.
So Tip from my side (P.S~ From Steve Job):

Yo 🤗

The Blogs on HF is just gold mine Knowledge >>>>

India needs its own PayPal Mafia Group

With this Agentic AI , Builders are now converting to Founders
Now the question arises who will fund those people
Specially in India 🙏

These new Benchmarks for Data Loading in JAX are crazy still working on my project
Hopefully it will become best

It's our 17th birthday! 🎂

What year did you start using GitHub?

Python Wrapper on Rust is just Performance Booster 😏

Ubuntu's GDM3 is broken???
Or is just with my OS 🥲🥹

🔗 GitHub: github.com/carrycooldud...
📖 Docs: carrycooldude.github.io/JAX-Dataload...
📝 Full blog post: medium.com/google-devel...

What features would you like to see next? Let’s discuss in the comments! 👇

✨ What’s new in v0.1.9?
✅ Optimized batch processing for faster training
✅ Automatic memory management for efficiency
✅ Multi-GPU & distributed training support
✅ Intuitive, type-safe API

🚀 Get started today!
📌 Install:

pip install jax-dataloaders

🚀 Introducing JAX DataLoader v0.1.9: A High-Performance Data Loading Solution for JAX!

Efficient data loading is crucial for JAX-based ML workflows, and we're making it easier than ever!

Loving how NotebookLM is really really helpful for Research Paper reading specially Audio Generation one ❤️
Wanna Check out???
Here's the link: notebooklm.google.com

Paper and Pen is the best form of brainstorming tool fr

Online Tool is not for me I guess

🚀I built jax-dataloaders, a simple yet powerful DataLoader optimized for JAX. Learn how to build one from scratch & optimize it for performance! 💡🔥

Read here: medium.com/google-developer-experts/building-an-efficient-dataloader-in-jax-from-scratch-to-production-f8909ca563bc

GitHub - carrycooldude/JAX-Dataloader: A lightweight DataLoader for JAX to load data from various file formats, including CSV, JSON, and more. The goal of this project is to port TensorFlow Dataset (TFDS) functionality into JAX while supporting multiple data sources and preprocessing. A lightweight DataLoader for JAX to load data from various file formats, including CSV, JSON, and more. The goal of this project is to port TensorFlow Dataset (TFDS) functionality into JAX while su...

🔗 GitHub: github.com/carrycooldud...

jax-dataloaders None

🔥 Excited to launch JAX-Dataloaders! 🎉
Effortlessly load and preprocess datasets for JAX with a simple, efficient API.

💡 Features:
✅ Optimized for JAX
✅ Easy-to-use DataLoader
✅ Lightning-fast batch processing

Try it now: pip install jax-dataloaders
🔗 pypi.org/project/jax-...

GDE in Google Cloud ✅

GitHub - carrycooldude/codeclarity: CodeClarity is an innovative AI-powered tool designed to bridge the gap between developers and legacy codebases. Many developers are tasked with maintaining and enh... CodeClarity is an innovative AI-powered tool designed to bridge the gap between developers and legacy codebases. Many developers are tasked with maintaining and enhancing code that was written year...

⭐ Star the repo: github.com/carrycooldud...

🚀 CodeClarity – AI-powered code documentation & understanding tool!

✨ Generate clear documentation
🤖 Summarize complex code
🔍 Ask AI-powered questions

Built with Vertex AI, FastAPI & React, using RAPTOR summarization

📖 Read the blog: medium.com/google-devel...

Naval Ravikant defines agency as the ability to identify problems and solve them without being asked. People with high agency are proactive, take initiative, and don't need constant supervision or guidance. They are problem solvers who get things done efficiently and effectively.

How GitHub uses CodeQL to secure GitHub How GitHub’s Product Security Engineering team manages our CodeQL implementation at scale and how you can, too.

GitHub's product security team uses CodeQL to detect and prevent vulnerabilities at scale. 🔒 Learn how you can too. ⬇️
github.blog/engineering/...

Are you still using LoRA to fine-tune your LLM? 2024 has seen an explosion of new parameter-efficient fine tuning technique (PEFT), thanks to clever uses of the singular value decomposition (SVD). Let's dive into the alphabet soup: SVF, SVFT, MiLoRA, PiSSA, LoRA-XS 🤯...

Will not lie but I am just loving the response of deepseek from the end of the code generation.

🌅 📸

I got renewed as a Google Developer Expert ✅ and will contribute more to the community ✨