Vectorview recently launched!

Launch YC: Vectorview: Evaluating the capabilities of AI

"Custom task evaluators that red team for safety and benchmark performance"
Vectorview makes it easy to evaluate the capabilities of foundation models and LLM agents. They do this by building custom task evaluators that red team for safety and benchmark performance.

Founded by
Emil Fr繹berg & Lukas Petersson

Problem: Sometimes, LLMs act in ways we didn't intend 仄

Its difficult to prevent unwanted behaviors in LLMs due to their non-deterministic nature. Testing them against every possible scenario is hard, making it tough to catch all unintended behaviors. Additionally, most evaluation benchmarks (like MMLU or BBQ) are too general, missing the specific issues that can arise in real-world use. Take this example:

Image Credits: Vectorview

This issue isnt limited to chatbots. It spans across LLM agents designed for specialized tasks and extends to AI labs striving for model safety. The task of crafting, deploying, and precisely scoring custom evaluations is complex and time-consuming.

Solution: Enabling access to custom evaluations

Each use case demands a custom evaluation. In the case of the Chevrolet chatbot, Vectorview's custom auto-red teaming solution could be implemented to prevent the mistake.

Image Credits: Vectorview

The platform offers a suite of custom evaluation tools designed to benchmark AI applications against specific, real-world scenarios they are likely to encounter. This targeted approach ensures that AI behaves as intended, mitigating the risk of unintended behaviors that generic benchmarks often miss.

Learn More

Visit to learn more

Schedule time for a demo directly here

Are you working with LLM agents or foundation models? If you need custom evaluations specific to your use case - the Vectorview team can help!

Follow Vectorview on LinkedIn & X
May 21, 2024
Back to all posts

Join Our Newsletter and Get the Latest
Posts to Your Inbox

No spam ever. Read our Privacy Policy
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.