The LLM Mesh provides the components in Dataiku that empower IT to take control and help teams build safe, secure, enterprise-ready GenAI applications.
With dedicated components for AI service routing, PII screening, LLM response moderation, performance and cost tracking, and auditing of entire application flows, you get maximum control while delivering the performance your business expects.
Enterprise-Grade Prompt Engineering
Want to customize the behavior of a large language model (LLM) for your unique use case? With Prompt Studios in Dataiku, iteratively design and evaluate LLM prompts, compare performance and cost across models, and operationalize Generative AI in your data projects. (coming soon)
AI-Powered Data Preparation
With Dataiku’s AI Prepare assistant, simply describe the transformation you want to apply and the AI assistant automatically generates the necessary data preparation steps. The ability to modify both your prompt and the resulting steps means you can prepare data faster than ever, yet still stay in complete control. (coming soon)
Integrations with Generative AI Services
Dataiku includes integrations to leading Generative AI providers like OpenAI, Azure, AWS, and Hugging Face. With Dataiku’s model and provider-agnostic approach, your team will always be able to leverage the latest and greatest Generative AI technologies, giving you maximum agility to meet your business needs.
Retrieval Augmented Generation (RAG)
Chatbots powered by generic LLMs can save time for common queries, but are unable to access recent data or critical internal documentation and so may miss out on key details.
By applying Retrieval Augmented Generation (RAG) and semantic search techniques in Dataiku, you can augment foundational LLMs with your own knowledge base to ensure chatbots provide the most relevant, accurate, and trustworthy information possible.
LLM-Powered NLP Recipes
Updating traditional NLP pipelines with modern Generative AI techniques is fast and easy with out-of-the-box, visual components.
Dataiku offers no-code text recipes enhanced with pre-trained HuggingFace models and LLMs for text summarization, classification, sentiment & emotion analysis, and other common language tasks.
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