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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

Thats why explainability is such a key issue. People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Large Language Models (LLMs) are changing how we interact with AI.

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FakeShield: An Explainable AI Framework for Universal Image Forgery Detection and Localization Using Multimodal Large Language Models

Marktechpost

The rise of powerful image editing models has further blurred the line between real and fake content, posing risks such as misinformation and legal issues. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers? Let’s collaborate!

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Explainable AI: Insights from Arthur’s Adam Wenchel

NVIDIA

Their conversation spans a range of topics, including AI bias, the observability of AI systems and the practical implications of AI in business. The AI Podcast · Explainable AI: Insights from Arthur AI’s Adam Wenchel – Ep. 02:31: Real-world use cases of LLMs and generative AI in enterprises.

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Pace of innovation in AI is fierce – but is ethics able to keep up?

AI News

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. The company says it has also achieved ‘near human’ proficiency in various tasks.

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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

And counterfactual fairness approaches model outcomes if certain factors are changed, helping identify and address biases. Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions.

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Data Monocultures in AI: Threats to Diversity and Innovation

Unite.AI

For example, large language models (LLMs) such as OpenAIs GPT and Googles Bard are trained on datasets that heavily rely on English-language content predominantly sourced from Western contexts. This lack of diversity makes them less accurate in understanding language and cultural nuances from other parts of the world.

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What is Chain-of-Thought (CoT) Prompting? Examples & Benefits

Unite.AI

In recent years, large language models (LLMs) have made remarkable strides in their ability to understand and generate human-like text. These models, such as OpenAI's GPT and Anthropic's Claude, have demonstrated impressive performance on a wide range of natural language processing tasks.