Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Claude Code Creator Shares an 8-Step Workflow for Faster, Higher-Quality App Development

This Claude Code approach from its creator shares eight steps. Make Claude Code projects smoother while improving speed and code quality ...
GitHub

model-context-protocol

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for ...
InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
GitHub

CATArena: Engineering-Level Tournament Evaluation Platform for LLM-Driven Code Agents

CATArena (Code Agent Tournament Arena) is an open-ended environment where LLMs write executable code agents to battle each other and then learn from each other. CATArena is an engineering-level ...
IEEE

A Physics-Derived and Datasheet-Driven Non-Iterative Analytical Model for Comparing MOSFETs in Various Power Converter Conditions Faster Than SPICE Simulations to Help Device ...

Abstract: This paper introduces a fast, datasheet-driven analytical model for estimating the switching energy loss in MOSFETs, achieving reasonable accuracy (minimum ...
IEEE

High-Order Internal Model-Based Data-Driven Iterative Learning Control of High-Speed Railways Subject to Faded Channels

Abstract: This study investigates the high-order internal model (HOIM) based data-driven iterative learning control of HSRs subject to faded channels. Firstly, the nonlinear train dynamics are ...
Microsoft

Learning to Retrieve Iteratively for In-Context Learning

We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...