Industries updates

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. For RAG-based applications, the accuracy of the generated responses from FMs …

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy Read More »

Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model. One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems …

Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat Read More »

Use everyday language to search and retrieve data with Mixtral 8x7B on Amazon SageMaker JumpStart

Use everyday language to search and retrieve data with Mixtral 8x7B on Amazon SageMaker JumpStart

With the widespread adoption of generative artificial intelligence (AI) solutions, organizations are trying to use these technologies to make their teams more productive. One exciting use case is enabling natural language interactions with relational databases. Rather than writing complex SQL queries, you can describe in plain language what data you want to retrieve or manipulate. …

Use everyday language to search and retrieve data with Mixtral 8x7B on Amazon SageMaker JumpStart Read More »

Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers

Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers

In January 2024, Amazon SageMaker launched a new version (0.26.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs). This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion …

Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers Read More »

Empowering operators through generative AI technologies with Azure for Operators

Empowering operators through generative AI technologies with Azure for Operators

OpenAI’s offerings—ChatGPT, Codex, Sora, and DALL-E—have caught the public’s imagination and opened doors to many opportunities for infusing AI into networks, systems, services, and applications. These cutting-edge AI technologies are now deeply integrated with Microsoft products including Bing, Windows, Office, and Microsoft Teams. Within Azure for Operators, we are taking advantage of the significant investments …

Empowering operators through generative AI technologies with Azure for Operators Read More »

Advancing memory leak detection with AIOps—introducing RESIN

Advancing memory leak detection with AIOps—introducing RESIN

“Operating a cloud infrastructure at global scale is a large and complex task, particularly when it comes to service standard and quality. In a previous blog, we shared how AIOps was leveraged to improve service quality, engineering efficiency, and customer experience. In this blog, I’ve asked Jian Zhang, Principal Program Manager from the AIOps Platform …

Advancing memory leak detection with AIOps—introducing RESIN Read More »

Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation

Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation

Amazon Rekognition makes it easy to add image and video analysis to your applications. It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning (ML) expertise to use and we’re continually adding new computer vision …

Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation Read More »

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities

This is a guest post co-authored by Shravan Kumar and Avirat S from Gramener. Gramener, a Straive company, contributes to sustainable development by focusing on agriculture, forestry, water management, and renewable energy. By providing authorities with the tools and insights they need to make informed decisions about environmental and social impact, Gramener is playing a …

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities Read More »

Scroll to Top