Creating and implementing well-adjusted Language Model Models on Amazon SageMaker by Indeed | AWS Machine Learning Blog

Introduction to Indeed and AI Innovation

At Indeed.com, AI has been integral to providing job seekers with the right roles and connecting them to new opportunities. The Core AI team focuses on HR domain research and development, utilizing large language models (LLMs) to enhance the matchmaking process.

Challenges and Solutions with Amazon SageMaker

Indeed faced challenges such as efficient fine-tuning and serving high-volume production traffic. By leveraging Amazon SageMaker, they streamlined training processes, standardized model interactions, and deployed specialized models for various purposes.

Enhanced Performance and Efficiency

Through LLM fine-tuning, Indeed saw performance benefits and successfully implemented the capability to serve production traffic efficiently. Amazon SageMaker’s inference components allowed for cost-effective model deployment, dynamic auto scaling, and efficient resource utilization.

Accelerated Deployment and Flexibility

Indeed’s high-velocity research and deployment approach enabled quick iteration on fine-tuning methods, resulting in advanced LLM performance across various HR tasks. The seamless integration of Amazon SageMaker and LLMs has driven cost-efficiency and scalability in delivering AI-driven HR solutions.

Strategic Partnerships and Transformative Potential

Indeed’s implementation of Amazon SageMaker inference components has solidified its position as an AI leader in the HR industry. By continuously innovating and adapting AI solutions with Amazon SageMaker, Indeed is meeting the evolving needs of job seekers and employers worldwide, driving efficiency and innovation.