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Capital One pushes data tokenisation

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Why early generative AI advertisements aren’t working, and how creatives can...

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Flashback: This was the biggest Android news of last year

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Smart home at CES 2020: AI and Matter will be the...

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Employer branding fashions AI, new generations and real commitment

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Nvidia will open-source Run:ai software, which it acquired for $700M in...

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ByteDance denies reported plan for $7 billion NVIDIA chip

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The evolving revolution: AI by 2025

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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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Will we ever be able to trust robots?

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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,...