Question: Do you know of a tool that combines machine learning and symbolic knowledge representation for high-accuracy language insights?

If you need a system that blends machine learning and symbolic knowledge representation for language insights with high accuracy, Expert.ai is worth a look. It uses a hybrid AI approach that combines the strengths of both for high accuracy, explainability and flexibility. The system is geared to convert text data into knowledge and insights, and to help companies across industries like insurance, pharmaceuticals and financial services make decisions and cut risks.

Another contender is Lettria, a no-code AI platform that processes and extracts insights from text data with a combination of Large Language Models and symbolic AI. It's got tools for text preprocessing, mining and classification, and an interface designed to be easy on data security and privacy. Lettria is good for turning unstructured text into reliable information and knowledge graphs and for decision-making with accurate text analysis.

If you want a broader generative AI system, check out Writer. It's got a variety of tools including Palmyra LLMs, a Knowledge Graph and AI Guardrails. Writer can produce high-quality output, analyze data and govern policies, and it's a good option for companies that want to use AI securely and at large scale. It can handle multiple languages and can be deployed in a variety of ways, including multi-tenant and single-tenant options.

Last, H2O.ai is an end-to-end AI platform that spans both predictive and generative AI. It includes modules like H2O-Danube for offline language models and H2O Generative AI for content analysis and generation. H2O.ai can run in a variety of environments and has features like cost management, security and compliance, so it's good for companies that need to analyze documents and automate processes accurately and efficiently.