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Capital One pushes data tokenisation

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Why Apple Intelligence Might Fall Short of Expectations?

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Natural Language Processing

Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination

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Natural Language Processing

FACTS Grounding: A new benchmark for evaluating the factuality of large...

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Save up to $400 on Your Conference Tickets!

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A New Jam-Packed Biden Executive Order Tackles Cybersecurity, AI, and More

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Understanding the cp Command in Bash

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ElevenLabs launches GenFM, an AI-powered podcast generator

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GitHub’s Deepfake Porn Crackdown Still Isn’t Working

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Spotify for Android gets Google Gemini support

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Solving generative AI challenges with Google Cloud and DataRobot

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Education

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

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Step-by-Step Guide to Build a Customizable Multi-Tool AI Agent with LangGraph...

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Anthropic

This retractable USB-C cable for fast charging is a must buy...

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Anthropic

Microsoft now tests AI-generated text for Windows Notepad

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Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

LLMs have shown impressive capabilities across various programming tasks, yet their potential for program optimization has not been fully explored. While some recent efforts have used LLMs to enhance performance in languages like C++ and Python, the broader application of LLMs to optimize code, especially in low-level programming contexts,...