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What is Safe GPT?

SafeGPT is a browser extension and quality assurance platform developed by Giskard that aims to prevent errors, biases, and privacy issues in Large Language Models (LLMs) like ChatGPT. It utilizes multiple methods, including metamorphic testing, human feedback, constitutional AI, benchmarks with external data sources, and Explainable AI methods. SafeGPT enables users to identify wrong answers, reliability issues, and ethical biases in real-time through its browser extension and monitoring dashboard. Developers can also use the platform to debug any LLM and compare the output quality of different providers. SafeGPT is built on state-of-the-art research, uses real and up-to-date data, and is secure, trusted, and ready to scale.

Safe GPT Features

Browser Extension and Monitoring Dashboard

Allows users of ChatGPT to identify errors, biases, and privacy issues in real-time.
Quality Assurance Platform

Enables developers to debug any LLM and compare the output quality of different providers.
Error Bias and Privacy Issue Identification

Helps in identifying wrong answers, reliability issues, ethical biases, and privacy concerns in LLMs.
Compatibility and Scalability

Works with any LLM, utilizes real and up-to-date data, and is ready to scale for large deployments.

Safe GPT Use Cases

Debugging Llms

SafeGPT can be used by developers to effectively debug any Large Language Model (LLM) and compare the output quality of different LLM providers.
Ensuring Reliability

SafeGPT enables users to identify wrong answers and reliability issues in real-time, ensuring the accuracy and dependability of LLMs.
Identifying Ethical Biases

SafeGPT helps in recognizing and addressing ethical biases present in LLMs, allowing users to ensure fairness and ethical considerations in the generated content.

Related Tasks

Error Detection

Identify and flag errors in the output generated by Large Language Models (LLMs) using SafeGPT's error detection capabilities.
Bias Identification

Safeguard against biased content by leveraging SafeGPT to detect and address any potential biases in LLM-generated text.
Privacy Issue Detection

Ensure data privacy compliance by using SafeGPT to identify and mitigate any privacy concerns present in LLM outputs.
Quality Assurance

Perform quality assurance checks on LLM-generated content to ensure accuracy, reliability, and adherence to ethical standards.
Reliability Assessment

Evaluate the reliability and dependability of LLMs by using SafeGPT to identify incorrect answers and reliability issues in real-time.
Debugging Llms

Debug LLM models more efficiently by utilizing SafeGPT's quality assurance platform for identifying and resolving issues.
Comparative Analysis

Compare the output quality of different LLM providers to make informed decisions on model selection and deployment using SafeGPT's monitoring capabilities.
Real-Time Monitoring

Leverage SafeGPT's browser extension and dashboard to monitor LLMs' outputs in real-time and identify any errors, biases, or reliability issues during usage.

AI Developer

Uses SafeGPT to debug and improve the output quality and reliability of Large Language Models (LLMs) during the development process.
Content Quality Assurance Specialist

Utilizes SafeGPT to identify errors, biases, and privacy issues in LLM-generated content and ensure high-quality and ethical standards.
AI Ethicist

Relies on SafeGPT to analyze and identify any ethical biases present in LLMs, ensuring fairness and mitigating potential risks.
Language Model Researcher

Leverages SafeGPT's capabilities to evaluate and compare the performance and output quality of various LLMs for academic research purposes.
AI Tester

Uses SafeGPT to thoroughly test and validate LLMs, uncovering and addressing any errors, biases, or privacy concerns that may impact model performance.
Data Privacy Analyst

Relies on SafeGPT to assess and monitor potential privacy issues within LLMs, ensuring compliance with data privacy regulations and safeguarding user information.
AI Consultant

Offers expertise in LLMs and utilizes SafeGPT as a tool to evaluate the efficiency, reliability, and ethical implications of different models for client projects.
AI Product Manager

Incorporates SafeGPT into the product development lifecycle to enhance the reliability and quality assurance processes for LLM-based applications, ensuring optimal performance and user satisfaction.

Safe GPT FAQs

How will my personal data be processed by SafeGPT?

Data privacy remains a top priority for Giskard, and they adhere to local regulations while offering options such as hosting data in specific regions (EU/US) or on-premise installation.

How can I get access to SafeGPT?

You can join the waitlist on the Giskard website to receive notifications when SafeGPT becomes available.

Is SafeGPT free?

There will be a free tier available for personal use, and for premium and enterprise solutions, pricing and ROI discussions will occur after joining the waitlist.

What features will be included in SafeGPT?

SafeGPT will include a browser extension and monitoring dashboard for ChatGPT users, a quality assurance platform for debugging any LLM, and the ability to identify errors, biases, and privacy issues in LLMs.

What technologies are being employed to ensure safety, remove ethical biases, or prevent privacy issues?

Specific technologies employed by SafeGPT are not provided.

What is Giskard?

Giskard is an open-source solution for AI quality that offers AI testing and debugging solutions to detect performance issues, biases, and errors in models before production.