News

Capital One pushes data tokenisation

AI Observer
DeepMind

Gemini Robotics combines Google’s best large language model and robotics to...

AI Observer
DeepMind

Google announces Gemini Robotics to build general-purpose robots

AI Observer
Anthropic

FTC wants to delay Amazon Prime lawsuit and blames Musk’s federal...

AI Observer
Anthropic

The lawsuit against Meta could be a precedent for copyrighted AI...

AI Observer
Anthropic

Watch out for North Korean spy apps on the Google Play...

AI Observer
Anthropic

The M4 MacBook Air displays some strange behavior that we haven’t...

AI Observer
News

I test AI agents as a profession and here are 5...

AI Observer
News

I compared Manus AI to ChatGPT – now I understand why...

AI Observer
News

Qualcomm acquires AI platform Edge Impulse for Dragonwing chips

AI Observer
Anthropic

What to Know and Where to Find Apple Intelligence Summaries on...

AI Observer

Featured

Education

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

AI Observer
News

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

AI Observer
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,...