Artificial Intelligence
Category: Learning Levels
Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC
Starting with the AWS Neuron 2.18 release, you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. When a Neuron SDK is released, you’ll now be notified of the support for Neuron DLAMIs […]
Detect email phishing attempts using Amazon Comprehend
Phishing is the process of attempting to acquire sensitive information such as usernames, passwords and credit card details by masquerading as a trustworthy entity using email, telephone or text messages. There are many types of phishing based on the mode of communication and targeted victims. In an Email phishing attempt, an email is sent as […]
Boost productivity with video conferencing transcripts and summaries with the Amazon Chime SDK Meeting Summarizer solution
Businesses today heavily rely on video conferencing platforms for effective communication, collaboration, and decision-making. However, despite the convenience these platforms offer, there are persistent challenges in seamlessly integrating them into existing workflows. One of the major pain points is the lack of comprehensive tools to automate the process of joining meetings, recording discussions, and extracting […]
Implement serverless semantic search of image and live video with Amazon 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, […]
Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas
In today’s fast-paced corporate landscape, employee mental health has become a crucial aspect that organizations can no longer overlook. Many companies recognize that their greatest asset lies in their dedicated workforce, and each employee plays a vital role in collective success. As such, promoting employee well-being by creating a safe, inclusive, and supportive environment is […]
Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker
Pre-train HyenaDNA, a transformer model exceeding 1M tokens, using HealthOmics storage and SageMaker’s managed training environment to catalyze breakthroughs in precision medicine, agriculture, and biotechnology.
Dynamic video content moderation and policy evaluation using AWS generative AI services
Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases. In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS […]
Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot
This post is co-written with Murthy Palla and Madesh Subbanna from Vitech. Vitech is a global provider of cloud-centered benefit and investment administration software. Vitech helps group insurance, pension fund administration, and investment clients expand their offerings and capabilities, streamline their operations, and gain analytical insights. To serve their customers, Vitech maintains a repository of […]
Enhance image search experiences with Amazon Personalize, Amazon OpenSearch Service, and Amazon Titan Multimodal Embeddings in Amazon 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) […]
Fine-tune large multimodal models using Amazon SageMaker
Large multimodal models (LMMs) integrate multiple data types into a single model. By combining text data with images and other modalities during training, multimodal models such as Claude3, GPT-4V, and Gemini Pro Vision gain more comprehensive understanding and improved ability to process diverse data types. The multimodal approach allows models to handle a wider range […]









