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In the rapidly evolving digital content industry, multilingual accessibility is crucial for global reach and user engagement. 123RF, a leading provider of royalty-free digital content, is an online resource for creative assets, including AI-generated images from text. In 2023, they used Amazon OpenSearch Service to improve discovery of images by using vector-based semantic search. Building …

How 123RF saved over 90% of their translation costs by switching to Amazon Bedrock Read More »

Enterprises face significant challenges accessing and utilizing the vast amounts of information scattered across organization’s various systems. What if you could simply ask a question and get instant, accurate answers from your company’s entire knowledge base, while accounting for an individual user’s data access levels? Amazon Q Business is a game changing AI assistant that’s …

Connect SharePoint Online to Amazon Q Business using OAuth 2.0 ROPC flow authentication Read More »

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM is optimized for the following medical language understanding tasks: Summarizing clinical encounters – Summarizing discharge notes, progress notes, radiology reports, pathology reports, and …

John Snow Labs Medical LLMs are now available in Amazon SageMaker JumpStart Read More »

From Google Arts & Culture to GenChess, discover new ways to experience chess with AI and explore the history of this timeless game.

Companies across various scales and industries are using large language models (LLMs) to develop generative AI applications that provide innovative experiences for customers and employees. However, building or fine-tuning these pre-trained LLMs on extensive datasets demands substantial computational resources and engineering effort. With the increase in sizes of these pre-trained LLMs, the model customization process …

Accelerating Mixtral MoE fine-tuning on Amazon SageMaker with QLoRA Read More »

As the demand for generative AI continues to grow, developers and enterprises seek more flexible, cost-effective, and powerful accelerators to meet their needs. Today, we are thrilled to announce the availability of G6e instances powered by NVIDIA’s L40S Tensor Core GPUs on Amazon SageMaker. You will have the option to provision nodes with 1, 4, and …

Amazon SageMaker Inference now supports G6e instances Read More »

Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use …

Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions Read More »

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. With …

Build generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3) Read More »

In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. In this LLM debate, we have two debater LLMs, each one taking one side of an argument and defending it based on the previous arguments for N(=3) rounds. The arguments are saved for a judge …

Improve factual consistency with LLM Debates Read More »

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. To view this series from the beginning, start with Part 1. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. The data mesh is a modern approach …

Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale Read More »