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Google refuses to give publishers options in AI Search

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ByteDance denies reported plan for $7 billion NVIDIA chip

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Alexa’s big Amazon AI revamp: 8 burning questions answered

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The Artificial Intelligence Revolution: From ChatGPT to Google, Meta and Anthropic...

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Character.ai lets users role play with chatbots based on school shooters

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Character.AI will no longer allow its chatbots to romance teenagers

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Character.AI takes teen safety seriously after bots are alleged to have...

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Stable Diffusion 3.5 is now available on Amazon Bedrock. What does...

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Hugging Face shows that test-time scaling can help small language models...

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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...