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.
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
You
Who is Soheil Feizi?
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.
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:
You
What is the tallest habitable building in Washington DC? Respond with the name of the building
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.
- 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.
You
how to import and use the python flexxx library
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()
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.
Blog
Learn more about the future of AI reliability