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SafeGPT AI

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SafeGPT by Giskard is an AI tool that aims to identify and solve errors, biases, and privacy issues in large language models (LLMs), offering features such as real-time data cross-checking, enterprise-level safety, and privacy prioritization

FEATURES

  • 🚀 Funding Boost: Giskard secured a 1.5 million euro financing round, enabling the expansion of its AI Quality Assurance software and the recruitment of additional talent.
  • 🌐 Data Privacy: Giskard prioritizes data privacy by adhering to local regulations, offering data hosting in specific regions (EU/US), and providing on-premise installation for enterprises.
  • 🏗️ Product Development: The funding will be invested in developing the Giskard product, with a focus on building a sustainable business and enhancing the platform’s capabilities, including the expansion to Computer Vision, Time Series, and Generative AI models.
  • 🔍 Model Testing: Giskard’s platform offers the ability to automatically scan AI models, including Language Model Models (LLMs), to detect and report on various vulnerabilities such as harmfulness, hallucination, and prompt injection.
  • 🛡️ Risk Mitigation: Giskard is actively investigating and developing multiple methods, such as metamorphic testing, human feedback, constitutional AI, and Explainable AI methods, to mitigate errors, privacy, and bias risks in Language Model Models (LLMs).

USE CASES

  • 💻 SafeGPT: SafeGPT is a tool developed by Giskard to avoid errors, privacy, and bias risks in LLMs. They use multiple methods, including metamorphic testing, human feedback, constitutional AI, benchmarks with external data sources, and Explainable AI methods to solve this problem. They also follow local regulations and offer to host your data in specific regions (EU/US) to ensure data privacy. For enterprises, they offer on-premise installation so the data stays on your servers.
  • 🕵️‍♀️ AI Quality: Giskard is an open-source solution for AI quality that provides AI testing and debugging solutions to detect risks of performance issues, biases, and errors in your model before production. From tabular models to LLMs, Giskard offers a comprehensive solution to ensure AI quality.
  • 🔒 ChatGPT Safety: ChatGPT is safe to use if you don’t share private information. Your conversations with ChatGPT are not confidential and may be used to train future versions of the model. You can opt-out of training models with your data, but your chats will still be stored for 30 days to monitor for abuse. ChatGPT has safeguards in place to protect users, but caution is recommended. OpenAI has created a version of GPT, called “InstructGPT,” that cuts down on the AI’s bizarre and irrational responses.
  • 🤖 AI Safety: Anthropic, a safety-focused A.I. start-up, is trying to compete with ChatGPT while preventing an A.I. apocalypse. They are investigating various data sources and comparison methods to detect LLMs’ hallucinations, biases, and privacy issues. They are also looking to build and develop the right methods for the right problems.
  • 📚 AI Safety Resources: Awesome AI Safety is a curated list of papers & technical articles on AI Quality & Safety that contains a list of papers and technical articles on AI quality and safety. You can browse papers by machine learning task category and use hashtags like #robustness to explore AI risk types.

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