• By quade
• 15 May 2024

IBM Releases Granite Code AI Models to Boost Open Source Coding

IBM Research released its new Granite code AI foundation models. This tool will use open-source models and is an essential part of IBM’s Granite foundation family. These foundation models were introduced to meet the stringent demands of enterprise AI applications. The models will perform various business-domain tasks such as summarization, question-answering, and classification across multiple domains, including internet, academia, code, legal, and finance.

By training the models on industry-specific datasets, IBM ensures they are attuned to the specialized language, terminology, and knowledge relevant to these sectors. This familiarity enables the models to generate informed responses based on industry-specific expertise. Now, IBM is making a selection of these code-trained models available as open-source.

What Are IBM’s Granite Code AI Models?

IBM’s Granite code AI models are made for the company’s vision to streamline the coding process. They understand how coding becomes increasingly complex to meet the growing requirements of software development. IBM leveraged its extensive research capabilities and data to develop its AI-driven tools aimed at assisting developers in the coding environment.

Granite code AI is trained on the rich dataset from CodeNet. This consists of over 500 million lines of code in more than 50 programming languages. They also contain code snippets, problems, and descriptions, that help models understand and generate code effectively.

The result is the Granite code models, which range from 3 billion to 34 billion parameters. These models are fine-tuned for tasks such as code generation, bug fixing, and code explanation, designed to boost productivity in software development workflows.

These models accelerate the development process by automating routine and complex coding tasks, allowing developers to concentrate on more creative and strategic aspects of software creation. This translates to a faster turnaround time for businesses. 

What Analysts Say?

The Granite code AI models are designed to boost productivity by automating routine and complex coding tasks. They make use of state-of-the-art AI tools accessible and allow a lower barrier to entry for software development. This can allow startups and independent developers to utilize the same powerful resources as large businesses. This levels the playing field and fosters a more innovative development community.

By offering these powerful tools on popular platforms like GitHub, Hugging Face, watsonx.ai, and Red Hat’s RHEL AI, IBM expands the potential user base and promotes collaborative development and customization of these models.

The innovation’s potential is limitless. With the open-source community now able to modify and enhance the Granite models, new applications and tools will emerge, potentially redefining current standards and practices in software development.

IBM’s strategy not only expands access to advanced coding tools but also creates an inclusive environment for developers of all skill levels and resource availabilities. Open-source coding further democratizes the coding sphere, 

IBM can potentially challenge other tech giants who haven’t committed to open-source models. By making the Granite code AI models available on platforms like GitHub and Hugging Face, IBM ensures countless developers will see the benefits of their system. This can set a new standard for AI integration in software development tools.

How BPOs Benefit from Granite Code AI?

Business Process Outsourcing (BPO) companies can greatly benefit from using IBM’s Granite code AI models. These advanced coding tools streamline development processes, allowing IT BPO strategic partnerships to meet the standards of their clients.

The open access to these AI models democratizes advanced technology, allowing smaller BPOs to compete with larger companies. Previously, only well-funded organizations could afford sophisticated AI-driven tools. Now, with Granite code AI models available on platforms like GitHub and Hugging Face, even smaller BPOs can leverage cutting-edge AI to provide custom IT BPO solutions.

This level playing field means that BPOs can attract more clients by demonstrating their ability to utilize the latest technology, ensuring high-quality outcomes, and maintaining competitive pricing. Ultimately, IBM’s open-source approach fosters innovation and growth across the industry.