
Amazon S3
AWS Lambda
Google Cloud Storage
Amazon CloudFront
Amazon EC2
DynamoDB
Google App Engine
Amazon AWS
Sightengine
Lasso Moderation
PicPurify
ContentAnalyzer.ai
Mediafirewall.ai
Moderation API
FakeRadar.app
Scanon AI
Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
Amazon S3
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We were looking for a scalable way to moderate all our images and text messages. Very happy with the Sightengine integration: very flexible in terms of how and what you filter, works great for us! We started with "standard" moderation and then created our own workflow with all our rules (community rules & guidelines). They do automated moderation only from what I understand.
Based on our record, Amazon S3 seems to be a lot more popular than Sightengine. While we know about 214 links to Amazon S3, we've tracked only 3 mentions of Sightengine. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
TLS at the API boundary encrypts the payload in transit, but your application is responsible for what happens to the document after the response arrives. If you're writing the rendered PDF to disk, a message queue, or cloud storage, that persistence layer needs its own encryption at rest. An unencrypted file sitting in an Amazon S3 bucket with overly permissive ACLs falls outside what the API provider's TLS covers. - Source: dev.to / 2 months ago
SAM CLI generates the SAMCodeUriServices mapping so that each collection value resolves to its own build artifact. At package time, those paths become Amazon S3 URIs. I don't need to manage any of this. - Source: dev.to / 3 months ago
Fine-tuning adapts an FM to a specific use case with proprietary training data. Titan, Cohere, and Meta models support fine-tuning via Amazon Bedrock. Text models need labelled prompt-completion pairs; image models need Amazon Simple Storage Service (Amazon S3) paths linked to descriptions. Secure training data with Amazon Virtual Private Cloud (Amazon VPC) + AWS PrivateLink. - Source: dev.to / 3 months ago
You need to understand vector stores for semantic and hybrid search using Amazon OpenSearch Service and Amazon Simple Storage Service (Amazon S3). Prompt caching helps reduce costs by reusing previously processed prompts. Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help you get the best responses from foundation models. Flow orchestration with Amazon... - Source: dev.to / 4 months ago
All fine-tuning used Amazon SageMaker Training Jobs โ no instance provisioning, no SSH, no manual teardown. You provide a training script and an S3 dataset path, specify the instance type, and SageMaker handles the rest. - Source: dev.to / 5 months ago
Sightengine is a developer-focused content moderation API that uses AI to detect nudity, violence, weapons, drugs, and other harmful content in text, images, and video. It's designed for fast, automated detection with transparent pricing and full API access. While ActiveFence provides a full-service trust and safety platform with policy enforcement and human review, Sightengine focuses on speed, flexibility, and... - Source: dev.to / 7 months ago
Sightengine | Remote | Multiple roles | Full time At Sightengine (https://sightengine.com) we build AI models for Trust & Safety. This includes multi-modal content moderation and abuse detection We are hiring for multiple roles. We are growing the Computer Vision team right now, looking for software engineers / ML engineers with a solid experience. https://sightengine.com/careers. - Source: Hacker News / over 2 years ago
So I was curious and did a google, it seems https://sightengine.com/ can do this and with a tiny bit of python it also seems doable. Source: almost 4 years ago
AWS Lambda - Automatic, event-driven compute service
Lasso Moderation - Content moderation tooling out of the box. Easily moderate your content with the help of AI, custom automation and an easy to use dashboard.
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
PicPurify - Real-time image moderation API which accurately detects inappropriate images containing specific elements like porn, nudity, violence, drugs, weapons... Our goal is to identify those images in user generated content and remove them automatically.
Amazon CloudFront - Amazon CloudFront is a content delivery web service.
ContentAnalyzer.ai - ContentAnalyzer.ai is an AI-based content moderation tool by Proflake that helps platforms detect and filter inappropriate content across text, image, video and audio in real time