Chimera Sandbox：一个可扩展的笔记本服务实验和开发平台

Key to innovation and improvement in machine learning (ML) models is the ability for rapid iteration. Our team, Chimera, part of the Artificial Intelligence (AI) Platform team, provides the essential compute infrastructure, ML pipeline components, and backend services. This support enables our ML engineers, data scientists, and data analysts to efficiently experiment and develop ML solutions at scale.

在机器学习（ML）模型的创新和改进中，快速迭代的能力至关重要。我们的团队Chimera是人工智能（AI）平台团队的一部分，提供了基本的计算基础设施、ML管道组件和后端服务。这种支持使我们的ML工程师、数据科学家和数据分析师能够高效地进行实验和开发规模化的ML解决方案。

With a commitment to leveraging the latest Generative AI (GenAI) technologies, Grab is enhancing productivity tools for all Grabbers. Our Chimera Sandbox, a scalable Notebook platform, facilitates swift experimentation and development of ML solutions, offering deep integration with our AI Gateway. This enables easy access to various Large Language Models (LLMs) (both proprietary and open source), ensuring scalability, compliance, and access control are managed seamlessly.

Grab致力于利用最新的生成式AI（GenAI）技术，为所有Grabbers提供增强的生产力工具。我们的Chimera Sandbox是一个可扩展的Notebook平台，促进了ML解决方案的快速实验和开发，并与我们的AI Gateway深度集成。这使得各种大型语言模型（LLMs）（包括专有和开源）可以轻松访问，确保可扩展性、合规性和访问控制得到无缝管理。

What is Chimera Sandbox?

什么是Chimera沙盒？

Chimera Sandbox is a Notebook service platform. It allows users to launch multiple notebook and visualisation services for experimentation and development. The platform offers an extremely quick onboarding process enabling any Grabber to start learning, exploring and experimenting in just a few minutes. This inclusivity and ease of use have been key in driving the adoption of the platform across different teams within Grab and empowering all Grabbers to be GenAI-ready.

Chimera沙盒是一个笔记本服务平台。它允许用户启动多个笔记本和可视化服务进行实验和开发。该平台提供了一个极快的入门流程，使任何Grabber都可以在几分钟内开始学习、探索和实验。这种包容性和易用性是推动该平台在Grab的不同团队中得到采用并赋予所有Grabber GenAI准备能力的关键。

One significant challenge in harnessing ML for innovation, whether for technical experts or non-technical enthusiasts, has been the accessibility of resources. This includes GPU instances and ...