News

Capital One pushes data tokenisation

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OpenAI presents a new blueprint for AI regulation that is its...

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Mercedes-Benz Virtual Assistant uses Google Conversational AI agent

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Sa2VA: A Unified AI Framework for Dense Grounded Video and Image...

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Natural Language Processing

What are Small Language Models (SLMs)?

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This AI Paper Introduces Toto: Autoregressive Video Models for Unified Image...

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R3GAN: A Simplified and Stable Baseline for Generative Adversarial Networks GANs

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Researchers from Fudan University and Shanghai AI Lab Introduces DOLPHIN: A...

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Meta AI Introduces CLUE (Constitutional MLLM JUdgE): An AI Framework Designed...

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Salesforce AI Introduces TACO: A New Family of Multimodal Action Models...

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Meet Search-o1: An AI Framework that Integrates the Agentic Search Workflow...

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Featured

Education

Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers

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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...

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Anthropic

Microsoft now tests AI-generated text for Windows Notepad

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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,...