News

Capital One pushes data tokenisation

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Education

Georgia Tech and Stanford Researchers Introduce MLE-Dojo: A Gym-Style Framework Designed...

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News

A Step-by-Step Guide to Build an Automated Knowledge Graph Pipeline Using...

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News

Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and...

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News

Stability AI Introduces Adversarial Relativistic-Contrastive (ARC) Post-Training and Stable Audio Open...

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News

Hugging Face Introduces a Free Model Context Protocol (MCP) Course: A...

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ByteDance Introduces Seed1.5-VL: A Vision-Language Foundation Model Designed to Advance General-Purpose...

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Alibaba Wan2.1-VACE: Open-source AI video tool for all

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Government and Public Policy

AI tool speeds up government feedback, experts urge caution

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Forging a Sustainable Partnership Between AI Innovators and News Publishers

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Phi-4 – small models, big results

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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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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,...