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IQT Labs releases audit report of RoBERTa, an open source large language model
Large Language Models (LLMs) are tremendously powerful, but also concerning, in part because of their potential to generate offensive, stereotyped, and racist text. Since LLMs are trained on extremely large text datasets scraped from the Internet, it is difficult to…
Interrogating RoBERTa: A Case Study in Cybersecurity
Found It! How we discovered a security hole in a popular software actively used by millions of people around the world? This blog details an unexpected discovery in our audit of a Large Language Model released by Facebook.
Eating Every Last Slice of Your Raspberry Pi – GPU Offload on a Pi4
IQT Labs has been experimenting using Raspberry Pi4s and Software Defined Radios (SDR) as an on-the-go platform, through the GamutRF project. Learn how we made GamutRF, running on a Pi4, more responsive and reliable by utilizing the built-in GPU to…
Saisiyat is where it is at! Auditing multi-lingual AI models
How do you audit an AI model and what can you expect to learn from it? This blog explores auditing multi-lingual AI models.
Interrogating RoBERTa: Inside the challenge of learning to audit AI models and tools
This post offers a look inside the challenge of learning to audit AI models and tools, exploring an audit of RoBERTa, an open source, pretrained Large Language Model.
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Want to get even deeper into our work? Here are a few deep dives into how we break down problems into smaller pieces, pair applied research with the open-source platform, and highlight novel means to tackle some of the toughest problems.
Explores whether generative models can increase the utility of synthetic data for rare object detection.
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