News

Capital One pushes data tokenisation

AI Observer
News

This AI paper from DeepSeek-AI Explores How DeepSeek-V3 Delivers High-Performance Language...

AI Observer
News

Google Researchers Introduce LightLab: A Diffusion-Based AI Method for Physically Plausible,...

AI Observer
News

AWS Open-Sources Strands Agents SDK to Simplify AI Agent Development

AI Observer
News

Analysis of 8 Million US Speeches Reveals Surprising Trends

AI Observer
Anthropic

Did you pre-order the Samsung Galaxy S25 Edge?

AI Observer
Anthropic

Nothing Phone (3) leak confirms flagship specs

AI Observer
Anthropic

PlayStation’s Canadian multiplayer service game is in trouble.[19659001]

AI Observer
Anthropic

Telus weekend sale reduces plans by $10

AI Observer
News

Europe prepares a trial of Open Web Index in order to...

AI Observer
News

Nvidia plans to build a China R&D centre as export limits...

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,...