Rethinking the Role of PPO in RLHF
Rethinking the Role of PPO in RLHF TL;DR: In RLHF, there’s tension between the reward learning phase, which uses human preference in the form of comparisons, and the RL fine-tuning…
Improve performance of Falcon models with Amazon SageMaker | Amazon Web Services
What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? Despite the abundance of options for serving LLMs, this is a hard…
Index your web crawled content using the new Web Crawler for Amazon Kendra | Amazon Web Services
In this post, we show how to index information stored in websites and use the intelligent search in Amazon Kendra to search for answers from content stored in internal and…
Whisper models for automatic speech recognition now available in Amazon SageMaker JumpStart | Amazon Web Services
Today, we’re excited to announce that the OpenAI Whisper foundation model is available for customers using Amazon SageMaker JumpStart. Whisper is a pre-trained model for automatic speech recognition (ASR) and…
New – No-code generative AI capabilities now available in Amazon SageMaker Canvas | Amazon Web Services
Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML…
Reinventing a cloud-native federated learning architecture on AWS | Amazon Web Services
In this blog, you will learn to build a cloud-native FL architecture on AWS. By using infrastructure as code (IaC) tools on AWS, you can deploy FL architectures with ease.…
Mistral 7B foundation models from Mistral AI are now available in Amazon SageMaker JumpStart | Amazon Web Services
Today, we are excited to announce that the Mistral 7B foundation models, developed by Mistral AI, are available for customers through Amazon SageMaker JumpStart to deploy with one click for…
Prepare your data for Amazon Personalize with Amazon SageMaker Data Wrangler | Amazon Web Services
A recommendation engine is only as good as the data used to prepare it. Transforming raw data into a format that is suitable for a model is key to getting…
Use no-code machine learning to derive insights from product reviews using Amazon SageMaker Canvas sentiment analysis and text analysis models | Amazon Web Services
According to Gartner, 85% of software buyers trust online reviews as much as personal recommendations. Customers provide feedback and reviews about products they have purchased through many channels, including review…
Build an image-to-text generative AI application using multimodality models on Amazon SageMaker | Amazon Web Services
In this post, we provide an overview of popular multimodality models. We also demonstrate how to deploy these pre-trained models on Amazon SageMaker. Furthermore, we discuss the diverse applications of…