InterVision Boosts AI with AWS LLM League & SageMaker

InterVision Boosts AI with AWS LLM League & SageMaker

InterVision, an AWS Premier Tier Services Partner, leveraged the AWS LLM League and Amazon SageMaker to significantly enhance its ConnectIV CX solution for municipal services. This AI-powered contact center solution already streamlines service delivery, but the integration of advanced generative AI capabilities through fine-tuned LLMs marks a substantial improvement. The AWS LLM League, a gamified program, enabled InterVision’s diverse team (solutions architects, engineers, sales) to fine-tune large language models (LLMs) specifically for municipal scenarios. This hands-on experience, using Amazon SageMaker JumpStart, a low-code/no-code environment within SageMaker Studio, allowed for rapid development and deployment of a cost-effective, domain-specific AI solution. Fine-tuning smaller models proved more efficient and cost-effective than using larger foundation models (FMs), requiring less computational power. The process involved selecting a model from SageMaker JumpStart, providing a training dataset in Amazon S3, customizing hyperparameters, and deploying the fine-tuned model. InterVision’s success story highlights the benefits of fine-tuning for specialized tasks; a 3B parameter model outperformed a 70B parameter model in their specific use case, demonstrating the efficiency and cost-savings of this approach. The enhanced ConnectIV CX solution now provides more precise handling of municipality-specific procedures and faster inference times, resulting in a better customer experience. Beyond the immediate impact on ConnectIV CX, InterVision also developed an internal virtual assistant using Amazon Bedrock, further showcasing the practical application of the skills acquired through the AWS LLM League. This success underscores the program’s effectiveness in accelerating AI development and driving tangible business outcomes. The case study emphasizes that even without deep data science expertise, organizations can effectively leverage these tools for practical AI implementation.

InterVision’s strategic partnership leverages ai automation aws capabilities to deliver enhanced machine learning solutions through Amazon’s advanced SageMaker platform.

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InterVision’s partnership leverages chatgpt automation aws capabilities to streamline machine learning workflows and enhance enterprise AI deployment strategies.

(Source: https://aws.amazon.com/blogs/machine-learning/intervision-accelerates-ai-development-using-aws-llm-league-and-amazon-sagemaker-ai/)

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