If you're looking for a one-stop shop for AI development and responsible AI governance, Google AI is definitely worth a look. It's got a wealth of tools and models, including generative AI tools for generating new material and the newest large language model, PaLM 2. It also has access to AI research papers and responsible AI guidelines, so it's a good resource for developers and businesses looking to use AI in a safe and responsible way.
Another good resource is Google DeepMind, a research lab that's working on responsible AI systems. It's got tools like Gemini, a family of multimodal models that can be used for everything from generating code to creating images. DeepMind is focused on responsible AI development, with safety, inclusivity and social benefit as top priorities, and offers tools like Google AI Studio and Google Cloud Vertex AI to let developers create new products and services.
If you're looking for an enterprise-level AI platform with governance built in, DataRobot AI Platform is worth a look. It's got both generative and predictive workflows, so you can innovate fast and integrate with a deep ecosystem. The platform is fast to deploy and has high analytics productivity, and it's a good option for a variety of industries and use cases.
Last, Abacus.AI is an AI platform that lets developers create and run large-scale AI systems. It's got tools like ChatLLM for building end-to-end RAG systems and predictive modeling tools for all sorts of business use cases. Abacus.AI has a focus on high availability, governance and compliance, and it's designed to automate complex tasks and forecast in real time, so it's a good option for improving customer service and optimizing business operations.