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Blanca Rivera Campos

Giskard's LLM Red Teaming
News

LLM Red Teaming: Detect safety & security breaches in your LLM apps

Introducing our LLM Red Teaming service, designed to enhance the safety and security of your LLM applications. Discover how our team of ML Researchers uses red teaming techniques to identify and address LLM vulnerabilities. Our new service focuses on mitigating risks like misinformation and data leaks by developing comprehensive threat models.

Blanca Rivera Campos
Blanca Rivera Campos
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Giskard’s LLM Testing solution is launching on Product Hunt
News

Our LLM Testing solution is launching on Product Hunt 🚀

We have just launched Giskard v2, extending the testing capabilities of our library and Hub to Large Language Models. Support our launch on Product Hunt and explore our new integrations with Hugging Face, Weights & Biases, MLFlow, and Dagshub. A big thank you to our community for helping us reach over 1900 stars on GitHub.

Blanca Rivera Campos
Blanca Rivera Campos
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Giskard team at DEFCON31
Blog

AI Safety at DEFCON 31: Red Teaming for Large Language Models (LLMs)

DEFCON, one of the world's premier hacker conventions, this year saw a unique focus at the AI Village: red teaming of Large Language Models (LLMs). Instead of conventional hacking, participants were challenged to use words to uncover AI vulnerabilities. The Giskard team was fortunate to attend, witnessing firsthand the event's emphasis on understanding and addressing potential AI risks.

Blanca Rivera Campos
Blanca Rivera Campos
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White House pledge targets AI regulation
News

White House pledge targets AI regulation with Top Tech companies

In a significant move towards AI regulation, President Biden convened a meeting with top tech companies, leading to a White House pledge that emphasizes AI safety and transparency. Companies like Google, Amazon, and OpenAI have committed to pre-release system testing, data transparency, and AI-generated content identification. As tech giants signal their intent, concerns remain regarding the specificity of their commitments.

Blanca Rivera Campos
Blanca Rivera Campos
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LLM Scan: Advanced LLM vulnerability detection
News

1,000 GitHub stars, 3M€, and new LLM scan feature  💫

We've reached an impressive milestone of 1,000 GitHub stars and received strategic funding of 3M€ from the French Public Investment Bank and the European Commission. With this funding, we plan to enhance their Giskard platform, aiding companies in meeting upcoming AI regulations and standards. Moreover, we've upgraded our LLM scan feature to detect even more hidden vulnerabilities.

Blanca Rivera Campos
Blanca Rivera Campos
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Scan your AI model to find vulnerabilities
News

Giskard’s new beta is out! ⭐ Scan your model to detect hidden vulnerabilities

Giskard's new beta release enables to quickly scan your AI model and detect vulnerabilities directly in your notebook. The new beta also includes simple one-line installation, automated test suite generation and execution, improved user experience for collaboration on testing dashboards, and a ready-made test catalog.

Blanca Rivera Campos
Blanca Rivera Campos
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Giskard interview for BFM Business' FocusPME
News

Exclusive Interview: How to eliminate risks of AI incidents in production

During this exclusive interview for BFM Business, Alex Combessie, our CEO and co-founder, spoke about the potential risks of AI for companies and society. As new AI technologies like ChatGPT emerge, concerns about the dangers of untested models have increased. Alex stresses the importance of Responsible AI, which involves identifying ethical biases and preventing errors. He also discusses the future of EU regulations and their potential impact on businesses.

Blanca Rivera Campos
Blanca Rivera Campos
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SafeGPT - The safest way to use ChatGPT and other LLMs
News

🔥 The safest way to use ChatGPT... and other LLMs

With Giskard’s SafeGPT you can say goodbye to errors, biases & privacy issues in LLMs. Its features include an easy-to-use browser extension and a monitoring dashboard (for ChatGPT users), and a ready-made and extensible quality assurance platform for debugging any LLM (for LLM developers)

Blanca Rivera Campos
Blanca Rivera Campos
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Giskard's turtle slicing some veggies!
News

Giskard 1.4 is out! What's new in this version? ⭐

With Giskard’s new Slice feature, we introduce the possibility to identify business areas in which your AI models underperform. This will make it easier to debug performance biases or identify spurious correlations. We have also added an export/import feature to share your projects, as well as other minor improvements.

Blanca Rivera Campos
Blanca Rivera Campos
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