News

Capital One pushes data tokenisation

AI Observer
News

NVIDIA plans to establish a research center in Shanghai

AI Observer
News

The Download: chaos at OpenAI and the spa heated up by...

AI Observer
News

Ex-Siri head reportedly wanted Apple to choose Google’s Gemini over ChatGPT

AI Observer
News

10 people share how they use AI in their everyday lives

AI Observer
News

The impact of AI in your organization

AI Observer
AI Hardware

Huawei to ship 700000 Ascend AI chips in 2025 despite challenges...

AI Observer
News

SWE-Bench Performance Reaches 50.8% Without Tool Use: A Case for Monolithic...

AI Observer
News

How to Build a Powerful and Intelligent Question-Answering System by Using...

AI Observer
News

Build Custom AI Agents for Workflow Automation

AI Observer
AMD

The $1 Billion database wager: What Databricks Neon acquisition means for...

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,...