Anthropic

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

AI Observer
Anthropic

Claude AI and other system could be vulnerable to worrying Command...

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Anthropic

Can AI save the public sector? Will it deliver on its...

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Anthropic

L’Oreal: Making AI worthwhile

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Anthropic

Anthropomorphizing Artificial intelligence: The consequences of mistaking human-like AI for humans...

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Anthropic

Anthropic AI Case on Copyright Centers on ‘Guardrails for Song Lyrics’

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Anthropic

Mark Zuckerberg and Sheryl Sandberg want you to know they’re still...

AI Observer
Anthropic

Here’s what we know about the Nintendo Switch 2 so far.

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Anthropic

Frames, Runway’s AI image generator, is here and it looks cinematic

AI Observer
Anthropic

Devin 1.2: Updated AI Engineer enhances coding through smarter in context...

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Education

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

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News

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...

AI Observer
Anthropic

Microsoft now tests AI-generated text for Windows Notepad

AI Observer
AI Observer

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,...