AWS Machine Learning Blog

Category: Analytics

Introducing guardrails in HAQM Bedrock Knowledge Bases

HAQM Bedrock Knowledge Bases is a fully managed capability that helps you securely connect foundation models (FMs) in HAQM Bedrock to your company data using Retrieval Augmented Generation (RAG). This feature streamlines the entire RAG workflow, from ingestion to retrieval and prompt augmentation, eliminating the need for custom data source integrations and data flow management. […]

Category pie chart

Build an automated insight extraction framework for customer feedback analysis with HAQM Bedrock and HAQM QuickSight

In this post, we explore how to integrate LLMs into enterprise applications to harness their generative capabilities. We delve into the technical aspects of workflow implementation and provide code samples that you can quickly deploy or modify to suit your specific requirements. Whether you’re a developer seeking to incorporate LLMs into your existing systems or a business owner looking to take advantage of the power of NLP, this post can serve as a quick jumpstart.

Implement exact match with HAQM Lex QnAIntent

This post is a continuation of Creating Natural Conversations with HAQM Lex QnAIntent and HAQM Bedrock Knowledge Base. In summary, we explored new capabilities available through HAQM Lex QnAIntent, powered by HAQM Bedrock, that enable you to harness natural language understanding and your own knowledge repositories to provide real-time, conversational experiences. In many cases, HAQM […]

Visualisation of text and image embeddings

Implement serverless semantic search of image and live video with HAQM Titan Multimodal Embeddings

In today’s data-driven world, industries across various sectors are accumulating massive amounts of video data through cameras installed in their warehouses, clinics, roads, metro stations, stores, factories, or even private facilities. This video data holds immense potential for analysis and monitoring of incidents that may occur in these locations. From fire hazards to broken equipment, […]

Personalized image search weighted score

Enhance image search experiences with HAQM Personalize, HAQM OpenSearch Service, and HAQM Titan Multimodal Embeddings in HAQM Bedrock

A variety of different techniques have been used for returning images relevant to search queries. Historically, the idea of creating a joint embedding space to facilitate image captioning or text-to-image search has been of interest to machine learning (ML) practitioners and businesses for quite a while. Contrastive Language–Image Pre-training (CLIP) and Bootstrapping Language-Image Pre-training (BLIP) […]

How LotteON built dynamic A/B testing for their personalized recommendation system

This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim from LotteON. LotteON is transforming itself into an online shopping platform that provides customers with an unprecedented shopping experience based on its in-store and online shopping expertise. Rather than simply selling the product, they create and let customers experience the product through their […]

How Veritone uses HAQM Bedrock, HAQM Rekognition, HAQM Transcribe, and information retrieval to update their video search pipeline

This post is co-written with Tim Camara, Senior Product Manager at Veritone. Veritone is an artificial intelligence (AI) company based in Irvine, California. Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. It offers solutions for media transcription, facial recognition, content summarization, object […]

HAQM Q Business and HAQM Q in QuickSight empowers employees to be more data-driven and make better, faster decisions using company knowledge

Today, we announced the General Availability of HAQM Q, the most capable generative AI powered assistant for accelerating software development and leveraging companies’ internal data. “During the preview, early indications signaled HAQM Q could help our customers’ employees become more than 80% more productive at their jobs; and with the new features we’re planning on […]

Use everyday language to search and retrieve data with Mixtral 8x7B on HAQM 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. […]