TL;DR:
- LG CNS introduces a generative AI coding service powered by its optimized large language model (LLM).
- This new technology is set to transform coding practices, particularly in data-sensitive sectors like finance.
- LG CNS offers a choice between its LLM and OpenAI’s ChatGPT to suit diverse business environments.
- AI Coding service supports developers in system and application development, with pre-configured prompts for ease of use.
- It includes features like code conversion, code generation, code recommendation, and code quality inspection.
- LG CNS plans to leverage its digital transformation expertise in various industries to further enhance AI Coding.
Main AI News:
LG CNS, a leader in technological innovation, has introduced a cutting-edge coding service powered by its own large language model (LLM) optimized for generative AI. This groundbreaking development is set to revolutionize the way businesses approach coding, particularly in sectors like finance that prioritize data security.
Last June, LG CNS launched its AI Coding service, a remarkable code-generation platform built upon the foundation of ChatGPT. Now, the company has taken a significant stride forward by creating its very own LLM, which acts as the central intelligence behind AI Coding. This innovative solution caters to businesses, especially those in finance and securities, where data confidentiality is paramount, enabling them to harness the power of AI within their internal systems.
Customers have the flexibility to choose between LG CNS’ LLM and OpenAI’s ChatGPT, aligning their decision with their unique business requirements and environments. Kim Sun-jung, Chief Technology Officer of LG CNS, emphasized the significance of this achievement, stating, “We have secured an LLM optimized for AI Coding that can be seamlessly integrated into the customer’s infrastructure. Our goal is to empower customers to enhance the development productivity of digital services through AI Coding.”
LG CNS’ AI Coding service is a game-changer for developers, offering invaluable support in the creation of systems, applications, and various software solutions. To streamline the adoption process, LG CNS provides consulting services, with its engineers pre-configuring prompts tailored to individual customer needs, including coding standards, system development environments, and performance criteria. This means that customers can immediately leverage the benefits of AI Coding without extensive setup or customization.
The versatility of LG CNS’ AI Coding is truly impressive. It offers a range of functionalities, from code conversion and code generation to code recommendation and code quality inspection, catering to the diverse requirements of developers across industries.
LG CNS’ commitment to innovation extends beyond the immediate launch, as the company intends to further enhance AI Coding by drawing upon its extensive knowledge gained from digital transformation experiences spanning finance, logistics, and manufacturing industries over the past three decades. This positions LG CNS as a trailblazer in the field of generative AI coding, poised to reshape the way businesses approach software development.
Conclusion:
LG CNS’ introduction of its generative AI coding service marks a significant step forward in the market. By offering a choice between its LLM and OpenAI’s ChatGPT, the company provides flexibility to businesses, especially those in data-sensitive industries. This innovation is poised to enhance coding productivity and streamline development processes, positioning LG CNS as a leader in the evolving landscape of AI-powered coding services.
