As we gear up ahead of AWS re:Invent 2024, we’re thrilled to announce our final cohort of new AWS Heroes! These individuals exemplify expertise and dedication to leveraging AWS technologies and sharing knowledge. Their contributions to the AWS community are greatly appreciated, and today we’re excited to celebrate them. Ayyanar Jeyakrishnan – Bengaluru, India Machine Learning Hero Ayyanar Jeyakrishnan is a Principal Engineer/Executive Director at Wells Fargo. He is a seasoned machine learning and cloud enthusiast with a strong focus on AWS technologies. Ayyanar’s expertise includes creating data platforms and architecting DevOps and MLOps solutions to streamline the deployment and management of machine learning models on AWS. He is passionate about sharing his knowledge and frequently speaks at industry events…
Category: AWS
Reposts from Amazon Web Services (AWS).
AWS Weekly Roundup: AWS Lambda, Amazon Bedrock, Amazon Redshift, Amazon CloudWatch, and more (Nov 4, 2024)
The spooky season has come and gone now. While there aren’t any Halloween-themed releases, AWS has celebrated it in big style by having a plethora of exciting releases last week! I think it’s safe to say that we have truly entered the ‘pre’ re:Invent stage as more and more interesting things are being released every week on the countdown to AWS re:Invent 2024. There is a lot to cover, so let me put my wizard hat on, open the big bag of treats, and dive into last week’s goodies! Something for developers There was no shortage of treats from AWS for developers this Halloween! AWS enhances the Lambda application building experience with VS Code IDE and AWS Toolkit — AWS…
Fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock is now generally available
Today, we are announcing the general availability of fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock in the US West (Oregon) AWS Region. Amazon Bedrock is the only fully managed service that provides you with the ability to fine-tune Claude models. You can now fine-tune and customize the Claude 3 Haiku model with your own task-specific training dataset to boost model accuracy, quality, and consistency to further tailor generative AI for your business. Fine-tuning is a technique where a pre-trained large language model (LLM) is customized for a specific task by updating the weights and tuning hyperparameters like learning rate and batch size for optimal results. Anthropic’s Claude 3 Haiku model is the fastest and most compact model…
Unlock the potential of your supply chain data and gain actionable insights with AWS Supply Chain Analytics
Today, we’re announcing the general availability of AWS Supply Chain Analytics powered by Amazon QuickSight. This new feature helps you to build custom report dashboards using your data in AWS Supply Chain. With this feature, your business analysts or supply chain managers can perform custom analyses, visualize data, and gain actionable insights for your supply chain management operations. Here’s how it looks: AWS Supply Chain Analytics leverages the AWS Supply Chain data lake and provides Amazon QuickSight embedded authoring tools directly into the AWS Supply Chain user interface. This integration provides you with a unified and configurable experience for creating custom insights, metrics, and key performance indicators (KPIs) for your operational analytics. In addition, AWS Supply Chain Analytics provides prebuilt…