Skip to main content

Tabnine introduces Code Provenance and Attribution feature that flags restrictively licensed code generated by AI assistants

The AI coding assistant provider Tabnine today announced a new feature, Code Provenance and Attribution, to protect companies from unintentionally adding restrictively licensed code into their codebase when using generative AI to write code. 

The new feature checks AI-generated code against public GitHub repositories to find matches, and flags the license type of the original code from GitHub. 

According to Tabnine, this new feature will help software development teams understand if the code generated by AI models meets their standards and requirements. 

“State-of-the-art LLMs like Claude 3.5 Sonnet and GPT-4o have greatly improved the performance of generative AI applications, including AI code assistants. However, these LLMs are trained on vast amounts of data collected from all corners of the internet, including code that may have restrictions on how it can be used, introducing the risk of IP infringement. Since the copyright law for the use of AI-generated content is still unsettled, engineering teams at enterprises want to strike a balance: leveraging the performance gains that come from these powerful models while minimizing the likelihood of copyleft-licensed code getting in their codebase,” Tabnine wrote in a blog post. 

Tabnine had already offered a license-compliant model trained only on permissively licensed code, but this new feature will enable users to leverage a variety of other models too, such as Anthropic’s Claude, OpenAI’s GPT-4o, and Cohere’s Command R+.

The Code Provenance and Attribution capability also supports other development activities on top of code generation within Tabnine, including fixing code, generating test cases, and implementing Jira issues.

The company is also working on expanding this capability to enable users to specify repos to check against, such as a competitor’s code. It will also add a censorship capability that removes matching code before the developer sees it. 

Code Provenance and Attribution is currently available as a private preview for all Tabnine Enterprise customers. Tabnine will also host a webinar on January 9 at 11 AM ET / 8 AM PT to dive into the capability further. 

The post Tabnine introduces Code Provenance and Attribution feature that flags restrictively licensed code generated by AI assistants appeared first on SD Times.



from SD Times https://ift.tt/9TN7iwH
Labels:

Comments

Post a Comment

Popular posts from this blog

A guide to data integration tools

CData Software is a leader in data access and connectivity solutions. It specializes in the development of data drivers and data access technologies for real-time access to online or on-premise applications, databases and web APIs. The company is focused on bringing data connectivity capabilities natively into tools organizations already use. It also features ETL/ELT solutions, enterprise connectors, and data visualization. Matillion ’s data transformation software empowers customers to extract data from a wide number of sources, load it into their chosen cloud data warehouse (CDW) and transform that data from its siloed source state, into analytics-ready insights – prepared for advanced analytics, machine learning, and artificial intelligence use cases. Only Matillion is purpose-built for Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Azure, enabling businesses to achieve new levels of simplicity, speed, scale, and savings. Trusted by companies of all sizes to meet...
1 comment
Read more

Olive and NTT DATA Join Forces to Accelerate the Global Development and Deployment of AI Solutions

U.S.A., March 14, 2021 — Olive , the automation company creating the Internet of Healthcare, today announced an alliance with NTT DATA , a global digital business and IT services leader. The collaboration will fast track the creation of new healthcare solutions to transform the health experience for humans — both in the traditional healthcare setting and at home. As a member of Olive’s Deploy, Develop and Distribute Partnership Programs , NTT DATA is leveraging Olive’s open platform to innovate, build and distribute solutions to Olive’s customers, which include some of the country’s largest health providers. Olive and NTT DATA will co-develop new Loops — applications that work on Olive’s platform to provide humans real-time intelligence — and new machine learning and robotic process automation (RPA) models. NTT DATA and Olive will devote an early focus to enabling efficiencies in supply chain and IT, with other disciplines to follow. “This is an exciting period of growth at Olive, so...
Post a Comment
Read more

2022: The year of hybrid work

Remote work was once considered a luxury to many, but in 2020, it became a necessity for a large portion of the workforce, as the scary and unknown COVID-19 virus sickened and even took the lives of so many people around the world.  Some workers were able to thrive in a remote setting, while others felt isolated and struggled to keep up a balance between their work and home lives. Last year saw the availability of life-saving vaccines, so companies were able to start having the conversation about what to do next. Should they keep everyone remote? Should they go back to working in the office full time? Or should they do something in between? Enter hybrid work, which offers a mix of the two. A Fall 2021 study conducted by Google revealed that over 75% of survey respondents expect hybrid work to become a standard practice within their organization within the next three years.  Thus, two years after the world abruptly shifted to widespread adoption of remote work, we are dec...
Post a Comment
Read more