179 results
JULY 16, 2026 / AI
To resolve the scaling bottlenecks and runtime errors caused by monolithic system prompts, engineering teams should treat prompts as build artifacts by modularizing instructions into reusable templates. By running these modular "skill files" through a transpiler, developers can enforce static validation, catch missing dependencies at build time, and integrate prompt generation directly into their CI/CD pipelines. This deterministic approach prevents code drift and ultimately establishes a safe framework where agents can propose updates to their own logic via standard pull requests.
FEB. 3, 2026 / AI
Finetuning the FunctionGemma model is made fast and easy using the lightweight JAX-based Tunix library on Google TPUs, a process demonstrated here using LoRA for supervised finetuning. This approach delivers significant accuracy improvements with high TPU efficiency, culminating in a model ready for deployment.
JULY 11, 2023
Women have made remarkable progress in advancing AI/ML technology through their contributions to ope...
JULY 10, 2023 / Announcements
Every year, university students who are members of Google Developer Student Clubs around the world a...
JULY 6, 2023 / Cloud
Google Developer Student Club Alums Reflect On Their Journey To Google Developer ExpertsDeveloper Jo...
JUNE 28, 2023
Google Cloud Champion Innovators are a global network of more than 500 non-Google professionals, who...
JUNE 20, 2023
Earlier this month, LA TechWeek hosted an array of thought leaders and innovative minds in the tech ...
JUNE 5, 2023
Yves Kalume...
MAY 25, 2023
For AAPI Heritage Month, we are celebrating Vickie Li, Web GDE...
MAY 23, 2023
Have you ever faced bugs on technologies known worldwide? What did you do? If you are Erick Wendel, ...
