CoSupport AI
What is Great Wave AI?
The Great Wave AI platform enables organizations to build and manage Generative AI Agents with a focus on quality, trust, usability, control, and security & compliance. It is designed for government and regulated industries, including central government departments, police forces, law firms, and providers of critical national infrastructure.
The platform facilitates the creation of precision agents trained on large volumes of technical data, capable of delivering accurate, business-critical advice. It supports connected workflows for solving multi-stage problems and provides robust evaluation and audit mechanisms. Key features include AI-on-AI evaluation, transparency of retrieval, human feedback workflows, and a comprehensive audit function.
Features
- LLM Document Search: Enables searching within documents using Large Language Models.
- LLM Orchestration: Facilitates management and coordination of multiple LLMs.
- LLM Monitoring: Provides tools for monitoring LLM performance.
- LLM Grounding: Enhances LLM responses with factual accuracy.
- LLM Evaluation Tool: Offers mechanisms for assessing LLM quality.
- LLM Observability: Increases transparency into LLM operations.
- LLM Studio: A comprehensive environment for working with LLMs.
- RAG as a Service: Retrieval-Augmented Generation offered as a service.
- LLM Document Retrieval: Facilitates the retrieval of information from documents.
- LLM Document Summarisation: Automates the summarization of documents using LLMs.
- LLM Guardrails: Provides mechanisms for added security.
- Multi-Agent LLM: supports multiple agents
Use Cases
- Training agents on high volumes of technical data.
- Developing agents that deliver business-critical advice.
- Creating agents that operate in connected workflows.
- Deploying agents for large volumes of public users.
- Implementing agents with demonstrable evaluation and audit mechanisms.
Related Queries
Helpful for people in the following professions
Great Wave AI Uptime Monitor
Average Uptime
99.86%
Average Response Time
526.4 ms
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