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This AI Paper from Microsoft Introduces a DiskANN-Integrated System: A Cost-Effective...

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Anthropic

Check Point confirms breach but says it was “old” data and...

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Anthropic

AI datacenters are going nuclear. Too bad they needed this yesterday

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Nvidia’s challenger Cerebras claims it has jumped the Mid-East funding obstacle...

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Microsoft restates commitment towards OpenAI amid analyst notes about datacentre expansion...

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ChatGPT Projects feature brings order to your AI chaos

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Nvidia GPU roadmap confirms that Moore’s Law has died and been...

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Nvidia RTX RTX 5090 with missing RFP intentionally sold as “B...

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Apple

This Android alternative to Apple AirTags has a much better functionality

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Apple

Apple AirPods Pro 2 vs. Sony WF-1000XM5: Battle of the flagship...

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Google’s Gemini 2.5 Pro model is the smartest you’re not currently...

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Salesforce AI Researchers Introduce UAEval4RAG: A New Benchmark to Evaluate RAG...

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Google AI Releases Standalone NotebookLM Mobile App with Offline Audio and...

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A Step-by-Step Coding Guide to Efficiently Fine-Tune Qwen3-14B Using Unsloth AI...

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Meta Introduces KernelLLM: An 8B LLM that Translates PyTorch Modules into...

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Salesforce AI Researchers Introduce UAEval4RAG: A New Benchmark to Evaluate RAG...

While enables responses without extensive model retraining, current evaluation frameworks focus on accuracy and relevance for answerable questions, neglecting the crucial ability to reject unsuitable or unanswerable requests. This creates high risks in real-world applications where inappropriate responses can lead to misinformation or harm. Existing unanswerability benchmarks are...