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  • Mal McCallion

Building Trust in AI: A New Vision for Testing and Evaluation

Updated: Dec 11, 2023

Hello property professionals and business owners!

Today, we're diving into the exciting world of AI, specifically Large Language Models (LLMs).

Recently, Scale announced their Test & Evaluation offering for LLMs. This service, already being used by OpenAI, is available in early access to select customers leading the way in LLM development.

Why is this important? Well, the conversation around LLMs has been a bit of a seesaw. On one side, we have the thrilling potential of this technology. On the other, the risks of opening Pandora's box. The key is to balance these two aspects. As we push the boundaries of LLM capabilities, we must also make strides in model evaluation and safety.

Studies have shown that popular LLMs can provide inaccurate information up to 52% of the time. Misinformation can sway global markets and politics, and unqualified advice can lead to real-world harms. To reach AI's full potential, we need to address these challenges alongside advancements in the models.

Enter Scale's Test & Evaluation offering. With over 7 years of experience in developing, fine-tuning, testing, and evaluating AI models, Scale is uniquely positioned to tackle these challenges. Their approach involves a combination of automated evaluations and human expert evaluations to assess model capability and helpfulness over time.

But that's not all! They also conduct in-depth targeting by human experts to identify specific harms and techniques where a model may be weak. This behaviour can then be catalogued, tracked, and patched via additional tuning.

Scale's vision for an effective Test & Evaluation approach is a game-changer. It's all about sharing best practices, creating industry standards, and fostering collaboration.

So, whether you're a builder or buyer, Scale's offering can help test and evaluate AI for safety and security. It's an exciting time for AI, and we can't wait to see how this shapes the future of the industry.

Remember, folks, it's all about ethical transparency. Let's build a future where we can trust our AI as much as we trust our morning cuppa!

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