Remove AI Modeling Remove Black Box AI Remove LLM
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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

For instance, theyve used LLMs to look at how small changes in input data can affect the models output. By showing the LLM examples of these changes, they can determine which features matter most in the models predictions. Imagine an AI predicting home prices.

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#48 Interpretability Might Not Be What Society Is Looking for in AI

Towards AI

This week, we are diving into some very interesting resources on the AIblack box problem’, interpretability, and AI decision-making. Parallely, we also dive into Anthropic’s new framework for assessing the risk of AI models sabotaging human efforts to control and evaluate them. AI poll of the week!

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Copyright, AI, and Provenance

O'Reilly Media

Another group of cases involving text (typically novels and novelists) argue that using copyrighted texts as part of the training data for a Large Language Model (LLM) is itself copyright infringement, 1 even if the model never reproduces those texts as part of its output. That’s a nice image, but it is fundamentally wrong.

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The future of QA is here, meet QA-GPT

LevelAI

QA-GPT We’ve launched a new and improved version of our existing Auto-QA product using the latest and most cutting-edge AI advancements: Introducing QA-GPT! QA-GPT uses a proprietary Generative AI LLM model built by Level AI that can understand the nuances of human speech and continuously improves with your data.