Question: I'm looking for a platform that enables responsible AI development and deployment, can you suggest one?

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Google AI

If you're seeking a platform that helps you develop and deploy AI responsibly, Google AI is a broad choice. Google AI includes tools like Google AI Studio, Firebase and Project IDX for building AI-powered apps while promoting responsible AI. It also has guidelines and best practices for safety, inclusivity and social impact, as well as access to AI research and insights.

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Dataloop

Another powerful option is Dataloop, which combines data curation, model management, pipeline orchestration and human feedback to speed up AI app development. It handles many types of unstructured data and has strong security controls that meet major standards. Dataloop is designed to help you work collaboratively and develop faster while maintaining high quality and security.

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Google DeepMind

Google DeepMind is another option. This research lab is working on responsible AI systems and has a variety of technologies like Gemini models for multimodal understanding and Veo for generative video. It's got a strong focus on responsibility and safety in AI, including tools to assess and mitigate future risks and address ethical concerns.

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Braintrust

If you're looking for something more enterprise focused, Braintrust is a platform to help you streamline the creation and deployment of AI into your business. It's got continuous integration, logging and visualization, and integration with human review for feedback. Braintrust is geared for industry players who want to cut uncertainty and drudgery out of AI development.

Additional AI Projects

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Domino Data Lab

Unifies AI operations and knowledge across the enterprise, providing data scientists with flexible tools and IT with security and compliance controls.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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HoneyHive

Collaborative LLMOps environment for testing, evaluating, and deploying GenAI applications, with features for observability, dataset management, and prompt optimization.

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Dataiku

Systemize data use for exceptional business results with a range of features supporting Generative AI, data preparation, machine learning, MLOps, collaboration, and governance.

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DataRobot AI Platform

Centralize and govern AI workflows, deploy at scale, and maximize business value with enterprise monitoring and control.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.

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NVIDIA AI Platform

Accelerate AI projects with an all-in-one training service, integrating accelerated infrastructure, software, and models to automate workflows and boost accuracy.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Writer

Abstracts away AI infrastructure complexity, enabling businesses to focus on AI-first workflows with secure, scalable, and customizable AI applications.

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Athina

Experiment, measure, and optimize AI applications with real-time performance tracking, cost monitoring, and customizable alerts for confident deployment.

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OpenAI

Unlock human-level problem-solving with safe and beneficial artificial general intelligence (AGI) for all.

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Dify

Build and run generative AI apps with a graphical interface, custom agents, and advanced tools for secure, efficient, and autonomous AI development.

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Aisera

Automates work across multiple domains, increasing productivity, accuracy, and cost savings with a suite of AI solutions and domain-specific Large Language Models.

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Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.

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Aible

Deploys custom generative AI applications in minutes, providing fast time-to-delivery and secure access to structured and unstructured data in customers' private clouds.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.