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Google refuses to give publishers options in AI Search

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Meta AI’s Llama Language Model modded to run in old Xbox...

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OpenAI presents a new blueprint for AI regulation that is its...

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Sa2VA: A Unified AI Framework for Dense Grounded Video and Image...

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This AI Paper Introduces Toto: Autoregressive Video Models for Unified Image...

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Researchers from Fudan University and Shanghai AI Lab Introduces DOLPHIN: A...

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Meta AI Introduces CLUE (Constitutional MLLM JUdgE): An AI Framework Designed...

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Salesforce AI Introduces TACO: A New Family of Multimodal Action Models...

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Meet Search-o1: An AI Framework that Integrates the Agentic Search Workflow...

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What is Artificial Intelligence (AI)?

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The Raspberry Pi 5 now comes in a 16GB super-powered model

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Chain-of-Thought May Not Be a Window into AI’s Reasoning: Anthropic’s New...

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Agentic AI in Financial Services: IBM’s Whitepaper Maps Opportunities, Risks, and...

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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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Chain-of-Thought May Not Be a Window into AI’s Reasoning: Anthropic’s New...

Chain-of-thought (CoT) prompting has become a popular method for improving and interpreting the reasoning processes of large language models (LLMs). The idea is simple: if a model explains its answer step-by-step, then those steps should give us some insight into how it reached its conclusion. This is especially appealing...