Researchers from Carnegie Mellon University have released PolyCoder, an automated code generator model that was trained on multiple programming languages, which they say is particularly good at ...

Models thus fine-tuned for programming language generation can then be deployed for various coding tasks, including code generation and generation of unit test scripts for code validation.

Yet, a perennial challenge persists: How do we enhance AI-driven code accuracy across all programming languages? In this post, we’ll explore strategies and methodologies to address this question.

Computer scientists have designed a way to safely use multiple programming languages within the same program, enabling programmers to use the language most appropriate for each function while ...

HIGHLIGHTS Google Bard has announced the code generation feature for its AI Chatbot Bard. Bard uses more than 20 languages for programming, including Go, C++, Java, Python, JavaScript, and Typescript.

Exo 2 belongs to a new category of programming languages that MIT Professor Jonathan Ragan-Kelley calls "user-schedulable languages" (USLs).

StableCode, Stability AI's code-generating LLM, will be available in a base model, an instruction model, and a long-context-window model.

Here are five AI-based code generators based on the large language models that can generate high-quality code: ...

Granite's code generation models are trained in 116 programming languages and can perform a wide range of tasks, including generating, explaining, correcting, editing, and translating code.

Apple has just released an AI model that, rather than generating code from left to right, does it out of order and all at once. Here's how.