Amazon SageMaker Canvas and Amazon SageMaker JumpStart have brought a new level of accessibility to fine-tuning large language models (LLMs), allowing businesses to tailor customer experiences precisely to their unique brand voice. No coding is needed for this process, as SageMaker Canvas provides a user-friendly, point-and-click interface. This not only allows faster operation but also…
Amazon SageMaker JumpStart provides built-in algorithms, pre-trained models, and pre-built solution templates to assist data scientists and machine learning practitioners in quickly training and deploying ML models. This post looks at how to use the text classification and fill-mask models on Hugging Face with SageMaker JumpStart for text classification on a custom dataset. The tutorial…
Amazon has announced an integration between Amazon SageMaker, a fully managed machine learning (ML) service, and Amazon DataZone, a data management service. This integration is planned to facilitate infrastructure setup with security controls, collaboration on ML projects, and management of access to data and ML assets.
When solving business issues using ML, one creates ML models…
Sri Lanka's Dialog Axiata provides telecommunications services to the majority of Sri Lanka, with over 17 million subscribers, which comprises 57% of the Sri Lankan mobile market. The company has many facets, including home broadband, payment platforms, and other fintech services. In a competitive market with high user churn rates, Dialog Axiata needed a way…
With the rise of virtual business meetings in the corporate world, especially due to the impact of the COVID-19 pandemic, managing the information flow from multiple meetings has become a significant challenge. According to a survey conducted by American Express in 2023, it's projected that by 2024, 41% of business meetings will occur in a…
Meta Llama 3 inference is now available on Amazon Web Services (AWS) Trainium and AWS Inferentia-based instances in Amazon SageMaker JumpStart. Meta Llama 3 models are pre-trained generative text models that can be used for a range of applications, including chatbots and AI assistants. AWS Inferentia and Trainium, used with Amazon EC2 instances, provide a…
The prevalence of large language models (LLM) has necessitated an efficient method of customizing these systems to align with organizational values and provide reliable and accurate customer experiences. However, with customization comes the challenge of obtaining diverse, subjective human feedback to refine the model's performance, which can be time-consuming and unscalable.
To overcome these hurdles, companies…
