Published on May 8, 2024, 9:13 pm

Ibm Revolutionizes Enterprise Software Development With Open-Sourced Generative Ai Models

IBM recently unveiled its endeavor in the realm of Artificial Intelligence by open-sourcing generative AI models for coding. These models have been trained using code from a plethora of programming languages, amounting to 116 in total. Aimed at supporting enterprise developers, IBM’s move is anticipated to significantly simplify the lives of developers by offering a spectrum of features tailored for their needs.

According to IBM, applications built on these models can revolutionize various aspects of a developer’s routine tasks. From automatically generating unit tests and writing documentation to identifying and fixing issues within the codebase, these models hold the potential to automate essential developer chores efficiently.

Generative AI tools targeted towards software development have seen considerable success, with Gartner predicting that three-quarters of developers will be leveraging such assistants in the foreseeable future. IBM has already introduced its own set of generative AI coding assistants under the Watsonx Code Assistant (WCA) family, catering to diverse functions like IT automation and application modernization.

The company has also made four variations of the IBM Granite code model available for public use. Ranging from three to 34 billion parameters in size, these models are finely tuned for enterprise software development workflows, thereby facilitating tasks like code generation, debugging, and explanations. Noteworthy is the fact that these Granite code models demonstrate top-tier performance among existing open-source Large Language Models (LLMs).

Despite the rapid growth in the generative AI market, choosing the right solution can be challenging for businesses. The scalability limitations and computational expenses associated with massive LLMs often deter enterprises from adopting them for specialized tasks. Additionally, uncertainties surrounding licensing and training methodologies further hinder widespread commercial adoption of such models.

IBM aims to bridge this gap by unveiling a more manageable variant – an 8B Granite code model tailored to meet enterprise requirements effectively. These models hold promises for translating legacy codebases into contemporary languages like Java seamlessly, marking a significant leap in AI-driven software development solutions.

In conclusion, IBM’s release of the Granite code models underlines its commitment to advancing AI solutions tailored for enterprise software development. By addressing key industry challenges through accessible and high-performing models, IBM continues to pave the way for innovative applications in generative AI technology across various programming languages and use cases.

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