DataRobot Generative AI Overview
DataRobot Generative AI is a comprehensive and integrated platform designed to empower enterprises to harness the full potential of generative AI, seamlessly combining it with predictive AI capabilities. Here’s a detailed look at what the product does and its key features.
Core Functionality
DataRobot Generative AI is part of the broader DataRobot AI Platform, which unifies both generative and predictive AI workflows. This platform allows users to experiment, build, deploy, monitor, and govern AI applications end-to-end, addressing the entire lifecycle of generative AI projects.
Key Features
Multi-Provider LLM Playground
The platform offers a Multi-Provider LLM Playground, enabling users to access and compare various large language models (LLMs) from different providers, including Google Cloud Platform, Vertex AI, Azure OpenAI, and AWS Bedrock. This feature allows enterprises to experiment with different foundation models, vector databases, and prompting strategies without being locked into a single vendor.
Generative AI Guard Models
DataRobot includes Generative AI Guard Models to ensure the safe and responsible use of LLMs. These guardrails help prevent issues such as prompt injection, sentiment and toxicity classification, and personal identifiable information (PII) detection. This ensures that the AI applications remain on-topic and compliant with enterprise standards.
LLM Cost and Performance Monitoring
The platform provides robust monitoring capabilities for LLMs, including cost and performance metrics. Users can track service health, latency, token size, error rates, and other custom-designed metrics to ensure optimal performance and cost efficiency.
Retrieval Augmented Generation (RAG) and Vector Databases
DataRobot supports the creation and deployment of Retrieval Augmented Generation (RAG) applications and integrates preselected vector databases. This allows users to build chat or RAG applications without deep machine learning expertise and to tailor the content to their proprietary data by building and leveraging custom vector databases.
Unified AI Registry and Generative AI Accelerators
The platform features a Unified AI Registry that centralizes the management of all AI assets, making it easier to deploy, monitor, and maintain both generative and predictive AI models. Generative AI Accelerators enable rapid deployment of generative AI projects and the development of retrieval augmented generation applications.
Integrated Development and Deployment
DataRobot offers both API and graphical user interfaces, allowing users to experiment, compare, and assess the best GenAI components. The platform supports a code-first experience with pre-built assistant recipes, enabling users to quickly prototype, build, and deploy end-to-end applications with just a few lines of code.
Governance and Observability
The platform includes advanced monitoring, management, and governance tools. Users can measure operational and data drift metrics, as well as generative AI-specific metrics like toxicity and truthfulness. This ensures that applications remain compliant and perform as expected in production environments.
Integration with Predictive AI
DataRobot seamlessly integrates generative AI with predictive AI, allowing for the combination of predictive models with generative models to deliver personalized and dynamic solutions. For example, predictive models can predict the next best offer for customers, while generative models can personalize the communication based on customer data.
In summary, DataRobot Generative AI is a powerful tool that empowers enterprises to leverage the full potential of generative AI, ensuring safety, efficiency, and compliance throughout the entire AI lifecycle. Its comprehensive features and integrated approach make it an ideal solution for businesses looking to drive value from their AI initiatives.