Anthropic

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

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Anthropic

Kearney, Futurum: Big enterprise CEOs make AI core to future

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Anthropic

Hyperscalers to spend a trillion dollars on AI optimised hardware

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Anthropic

Will the UK become an AI powerhouse?

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Anthropic

Perplexity launches Sonar API to take on Google and OpenAI in...

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Anthropic

Dutch digital innovation plans threatened by power grid constraints

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Anthropic

DDN looks to AI leadership as it secures $300m investment

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Anthropic

AI comes alive: From bartenders, to surgical aides, to puppies, robots...

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Anthropic

AI or Not raises 5M dollars to stop AI fraud, deepfakes,...

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Anthropic

You can now fine tune your own version AI image maker...

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Anthropic

Anthropic agrees with music publishers to work together to prevent copyright...

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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

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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,...