UNITED STATES: IBM has introduced WatsonX Code Assistant, a cutting-edge generative artificial intelligence (genAI) tool designed to revolutionize the way developers write code. According to an official statement released on October 26th, this innovative tool employs language prompts to provide invaluable assistance to developers in their coding endeavours.
This latest offering from IBM boasts two core functions. Firstly, it facilitates IT automation for seamless code deployment, streamlining the development process. Additionally, it addresses mainframe application modernization, including the intricate task of translating COBOL code to the versatile Java language.
In a bold step towards the future, IBM is actively engaged in ongoing research and development efforts to potentially encompass code generation, code explanation, and the entire end-to-end software development lifecycle within the scope of WatsonX Code Assistant.
WatsonX Code Assistant joins the ranks of IBM’s array of WatsonX assistants, including the likes of WatsonX Orchestrate and WatsonX Assistant, reaffirming IBM’s commitment to pushing the boundaries of AI-driven technological solutions.
This venture follows IBM’s initial launch of WatsonX, an AI and data platform dedicated to aiding enterprises in seamlessly integrating cutting-edge technology into their day-to-day operations. With this latest addition, IBM aims to ride the crest of the AI wave, offering developers a powerful ally in their coding endeavours.
Furthermore, IBM has announced a strategic collaboration with Hugging Face, a company valued at an impressive $2 billion last year, to provide access to open-source AI models, further expanding the horizons of AI-driven applications.
Among WatsonX’s impressive suite of features is the Granite series model, a formidable large language model (LLM) engineered to support tasks ranging from summarization and content generation to insight extraction. Leveraging statistical models to analyse data, LLMs master the intricate patterns that underlie words and phrases, setting them apart as pivotal tools in the field of AI-powered language processing.
In another strategic move, IBM revealed plans in August to host Meta’s Llama 2-chat, a 70 billion parameter model, within the Watsonx.AI studio, along with the StarCoder LLM, further bolstering their capabilities in code generation and language processing.
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