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 ...
The Java ecosystem has historically been blessed with great IDEs to work with, including NetBeans, Eclipse and IntelliJ from JetBrains. However, in recent years Microsoft's Visual Studio Code editor ...
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, ...
Claude Code 2.0 as it has been labelled by some introduces new features aimed at improving coding workflows and handling complex tasks more effectively. One notable addition is the “By the Way” ...
FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...
Code reviews are a critical part of modern software development, yet they can often become bottlenecks, especially when dealing with large or complex pull requests (PRs). Anthropic has this week ...
Frontier artificial intelligence (AI) lab Anthropic is rolling out new AI tools and upgrades in quick succession. On Monday, March 9, the company introduced what it calls ‘Code Review’ for Teams and ...
Anthropic introduces Code Review for Claude Code. This multi-agent system thoroughly analyzes every pull request (PR) for errors. Code review has become a bottleneck for many software teams. Anthropic ...
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's new Code Review feature increases substantive PR comments from 16% to 54%. The feature utilizes agents to identify, verify, and rank bugs based on severity. Reviews are tailored to PR ...
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