Welcome! This repository contains REST API tutorial samples that demonstrate how to use the Azure AI Content Understanding service directly via HTTP calls with thin Python convenience wrappers. These ...
Abstract: In this work, we propose a new soft-input soft-output decoder called soft-output from covered space (SOCS) decoder. It estimates the a posteriori reliability based on the space explored by a ...
We introduce phi-1, a new large language model for code, with significantly smaller size than competing models: phi-1 is a Transformer-based model with 1.3B parameters, trained for 4 days on 8 A100s, ...
UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The ...
Code Review is a multi-agent Claude Code tool to iron out any AI-generated code issues Token-based pricing typically results in a $15-25 charge, Anthropic says 84% of large pull requests got issues ...
Anthropic launches AI agents to review developer pull requests. Internal tests tripled meaningful code review feedback. Automated reviews may catch critical bugs humans miss. Anthropic today announced ...
When it comes to coding, peer feedback is crucial for catching bugs early, maintaining consistency across a codebase, and improving overall software quality. The rise of “vibe coding” — using AI tools ...
What is Code-Based Circuit Design? Circuit-synth brings software engineering practices to hardware design by letting you define circuits in Python code instead of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results