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Rhesis AI - Your LLM Application: Robust, Reliable & Compliant!
Rhesis AI provides an all-in-one AI testing platform for LLM (Large Language Models) applications. Their goal is to ensure the robustness, reliability, and compliance of LLM applications. Here are the key features:
Quality Assurance at Scale: Rhesis AI helps identify unwanted behaviors and vulnerabilities in LLM applications. It integrates effortlessly into any environment without requiring code changes.
Benchmarking and Automation: Organizations can continuously benchmark their LLM applications using adversarial and use-case specific benchmarks. This ensures confidence in release and operations.
Uncover Hidden Intricacies: Rhesis AI focuses on addressing potential pitfalls and uncovering hard-to-find 'unknown unknowns' in LLM application behavior. This is crucial to avoid undesired behaviors and security risks.
Compliance and Trust: Rhesis AI ensures compliance with regulatory standards and adherence to government regulations. It also enhances trust by ensuring consistent behavior in LLM applications.
Frequently Asked Questions
How does Rhesis AI contribute to LLM application assessment?
- Rhesis AI assesses robustness, monitors behavior consistency, and evaluates compliance with regulations.
Why is benchmarking essential for LLM applications?
- LLM applications have numerous variables and potential sources of errors. Even when built upon safe foundational models, ongoing assessment is critical due to techniques like prompt-tuning and fine-tuning.
Why is continuous testing necessary for LLM applications after deployment?
- LLM applications evolve, and essential elements (retrieval augmented generation, meta prompts, etc.) introduce potential errors. Continuous evaluation ensures application reliability.
For more information, visit Rhesis AI.