Google DeepMind

This project evaluates large language models on frontend coding and UI generation tasks by extending and integrating ideas from open-source coding...

Gemma Facet is a comprehensive platform that provides an end-to-end solution for fine-tuning Gemma language models through a microservices...

The project will close the documentation and evaluation gap for Google’s Gemini models by contributing structured onboarding guides and benchmarking...

This project will elevate Gemini API support across widely used open-source agent frameworks like LangChain, LlamaIndex, CrewAI, and...

A majority of the Gemma chat applications on Hugging Face Spaces do not allow the user to adjust generation settings or system prompts, giving the...

This proposal aims to upgrade and expand existing open-source tutorials and examples to support the new unified Gemini SDKs for JavaScript/TypeScript...

This project aims to create a Gemini Workspace in Postman for interacting with the Gemini API’s and providing a central hub for exploration ,...

EchoGem introduces a novel batching engine designed to answer multiple questions about the same source parallelly to reduce response times heavily....

Gemma is a lightweight, open-source large language model by Google DeepMind. This project aims to build an intuitive web interface for fine-tuning...

The goal of this project is to develop a multi-modal and open-source benchmark with which to evaluate Gemini 2.0. Open-source benchmarks are an...

This project aims to refactor the firebase/quickstart-ios to demonstrate the latest Firebase AI Logic features, including multimodal analysis,...

HALO (Hierarchical Abstraction for Longform Optimization) is an MIT-licensed Python package for efficient large-scale video content analysis,...

Fine-tuning LLMs like Gemma requires deep ML expertise and complex setups, slowing down adoption of SLMs in various industries and communities...

This project proposes the creation of a comprehensive Postman Workspace tailored for Google’s Gemini API suite. It will offer developers a robust,...

A VS Code (or JetBrains) extension to provide AI-powered coding assistance using Google’s Gemini API. This tool enhances the developer experience by...

The goal of this project is to create a developer-friendly Postman Workspace for interacting with the Gemini API. This workspace will serve as a...

This proposal aims to develop the Gemma LLM Garage, a full-stack interface to manage datasets and fine-tune Gemma models. Its main goal is to...

This project aims to develop a more rigorous and focused evaluation testbed than that used by Garrido et al. (2025), with the specific goal of...

As multimodal agents become increasingly integrated into real-world applications, ensuring their safe and reliable tool-use behavior is paramount. We...

This project aims to develop a Python library to support Xarray data (labeled multi-dimensional array library supported by Deepmind) with JAX...

The Gemini API, known for its multimodal capabilities and efficiency, is a powerful tool that enables advanced AI agent interactions. However, its...

OSS-Fuzz-Gen, a framework using LLMs for fuzz target generation and evaluation by Google, currently has a basic experiment report UI alongside a...

With the rise in popularity of AI agents, there is an increasing need for agentic benchmarks. There are 5 foundational types of AI agents that many...

Scientific discovery fundamentally relies on integrating and reasoning over multimodal information—text, diagrams, plots, spectra, microscopy images,...

The aim of this project is to develop a comprehensive learning resource for developers working with the Gemini Python SDK. This would consist of a...

Reproducibility as Accuracy (RaA) is a benchmark which aims to evaluate how effective multimodal AI systems are in preserving information fidelity...

This project explores how lightweight Gemma models can be applied in life-critical situations through an open-source Crisis Response Toolkit. The...

About 88 million U.S. households now identify as campers, and ~54 million households took a trip last year National parks run thousands of...

This project aims to advance the evaluation framework for Google’s Gemini 2.0 and Gemma 3-27B multimodal models by integrating a diverse set of...

This project develops an efficient framework for analyzing educational video content using the Gemini API. The approach combines optimized batch...

Current manual evaluation methods for LLM-based AI applications are unsustainable and resource-intensive. While using LLMs as judges offers a...

The goal of this project is to help strengthen the Concordia framework by developing and open-sourcing a collection of new language model agent...

This project improved Gemini AI integration in Roo Code VS Code extension, serving 800,000+ developers. Key deliverables included real-time Google...

The Gemini Cookbook is a set of sample applications and tutorials illustrating different functionalities of the Gemini APIs. The intent of this...

This project developed an open-source code sample for batch question answering on long-form transcripts (such as lectures or documentaries) using...

This project aims to: (a) investigate to explore technical possibilities, enhance specifications, and find applications for specific use cases and...

This project addresses critical gaps in Gemini API integration across leading agent frameworks (LangChain, LlamaIndex, CrewAI, Composio), where...

This project aims to develop a standalone Python SDK that provides researchers with a streamlined and well-documented API for interacting with...