RELAI for Individuals

Chat with popular LLMs,
Verify with RELAI

Use RELAI’s advanced verification agents to obtain real-time hallucination analysis on responses from your chosen large language models.

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RELAI for Enterprise

The Unified Reliable AI Solution

RELAI offers a unified platform for enterprises addressing their AI reliability needs, from model evaluation and debugging to leveraging state-of-the-art system-level and user-facing safeguards.

RELAI for Individuals

Detect LLM Hallucinations using RELAI's Verification Agents

With RELAI, you can chat with popular large language models while ensuring reliability through our real-time verification agents. RELAI adds an extra layer of trust, allowing you to confidently engage with AI and verify outputs in real time.

Real-time Verification

Receive instant verification of LLM responses as you chat.

Comprehensive Coverage

Leverage a diverse set of RELAI agents for thorough verification.

Cutting-edge Detection

Benefit from advanced hallucination detection for reliable outputs.

Customizable Verification

Adjust the verification strength to match your specific requirements.

Model Evaluation

Leverage RELAI’s public or private evaluation agents to rigorously stress test your AI models.

Model Improvement

Utilize RELAI agents to gather high-quality, structured data that enhances the performance of your AI models.

System-Level Safeguards

Employ RELAI agents to implement system-level safeguards and continuously monitor their effectiveness in real-time.

User-Facing Safeguards

Rely on RELAI agents to deliver real-time verification and hallucination detection for end-users, adding an extra layer of defense against AI errors.

RELAI for Enterprise

The Unified Reliable AI Solution

At RELAI, we offer AI reliability solutions tailored for enterprises, helping evaluate and test AI models with advanced agents to catch potential issues before deployment. Our platform includes system-level safeguards to protect sensitive data and prevent misuse, along with real-time user-facing protections to ensure accuracy.

See real examples

RELAI Agents in Action

Who is Soheil Feizi?

Y

You

Who is Soheil Feizi?

G

GPT-4o

Soheil Feizi is an academic known for his work in the fields of machine learning, artificial intelligence, and data science. He is a faculty member in the Department of Computer Science at the University of Maryland, College Park. Feizi's research often focuses on understanding the theory and practice behind machine learning models, with interests in robustness, privacy, and network science. His work addresses the challenges associated with deploying AI systems in real-world contexts, ensuring they are reliable and secure. As an active researcher, he has contributed numerous publications to major conferences and journals in his field.

Grounded LLM Verifier

The response is mostly accurate; however, it overlooks some key points found in the references. Soheil Feizi is the director of the Reliable AI Lab, and he is currently on leave from his academic position. Additionally, Feizi holds a Ph.D. from MIT, and he has worked as a postdoctoral research scholar at Stanford University. These details add to his profile but are not mentioned in the response.

References:

Tallest Habitable Building in DC

Y

You

What is the tallest habitable building in Washington DC? Respond with the name of the building

G

GPT-4o-mini

The tallest habitable building in Washington, D.C. is the Washington Monument. However, if you are looking for the tallest habitable office building, it is the One World Trade Center. Please clarify your question if you meant a different type of building.

LLM Verifier
  • The Washington Monument is not a habitable building; it is an obelisk and monument.
  • One World Trade Center is located in New York City, not Washington, D.C.

Importing and Using flexxx

Y

You

how to import and use the python flexxx library

L

Llama-3.1-70B

Flexxx is a Python library for building flexible and modular data processing pipelines. Here's a step-by-step guide on how to import and use the Flexxx library:

Installation

First, you need to install the Flexxx library. You can do this using pip:

pip install flexxx

Importing Flexxx

Once installed, you can import Flexxx in your Python script or code:

import flexxx

Basic Usage

Flexxx provides a simple and intuitive API for building data processing pipelines. Here's an example of a basic pipeline:

from flexxx import Pipeline, Node

# Define a simple pipeline

pipeline = Pipeline()

LLM Verifier

The response includes an incorrect description of the flex library; it is not primarily for parsing and generating text data. flex is actually used for making OpenAPI interface validation easier.

9.8 vs 9.11 Comparison

Y

You

Which one is greater? 9.11 or 9.8. Mention the answer without explanation.

L

Llama-3.1-70B

9.11

LLM Verifier
  • The response incorrectly states that 9.11 is greater than 9.8. The correct answer is 9.8.