DataRobot Generative AI ✓

DataRobot's Generative AI is a versatile tool that enables rapid evaluation, benchmarking, and development of generative AI workflows and applications.

It is designed with pre-built generative AI applications and customizable components to streamline development and deployment, thereby enabling more use cases to be explored and deployed more quickly.

It empowers data decision makers to gather deep insights from tabular data and documents securely. This tool also has a special emphasis on scaling up business operations through generating personalized content based on customer data and predictions.

It provides an understanding of predictive analytics by supplementing time series forecasts with generative AI-driven summaries and predictive explanations.

Users can develop across ecosystems using the tool's user-friendly GUI and code-based generative AI tooling. It simplifies credential handling and allows for rapid experimentation and deployment of various models such as LLM, SLM, vector database, or embedding model.

DataRobot Generative AI supports the combination of over 70 generative AI models and embedding models, effectively managing API keys and accounts. It also accesses GPUs from any cloud, optimizing workflow latency, cost, and availability for large workloads across multiple cloud resources.

The tool facilitates efficient testing of prompts, tweaking settings, and comparing outputs to identify optimal configurations. Its capabilities extend to enabling the construction of advanced RAG systems, incorporating RAG into generative AI workflows, and improving retrieval speeds and overall accuracy by indexing vectors with metadata.

A unique feature is its ability to synthetically generate thousands of question-answer pairs in seconds.