Remove topics messaging
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How Does Amazon SNS Work?

Analytics Vidhya

Introduction Amazon Simple Notification Service (SNS) is a managed service that delivers messages from publishers to subscribers (also known as producers and consumers). Publishers communicate asynchronously by sending messages on a topic that serves as a logical access point and communication route for […].

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Telegram now has a recommendation system

Hacker News

Today's update lets you find more channels on similar topics, repost stories from friends and channels, and add video messages to stories. We've also added profile colors, wallpapers for both sides, story stats and custom reactions for channels, voice transcription for everyone and much more.

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Level up your Kafka applications with schemas

IBM Journey to AI blog

Apache Kafka transfers data without validating the information in the messages. Kafka does not examine the metadata of your messages. One of the functions of Kafka is to decouple consuming and producing applications, so that they communicate via a Kafka topic rather than directly. What is a schema registry?

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How Data Flow Works In MQ Telemetry Transport (MQTT)

Smart Data Collective

Smart TVs, smartwatches, and other ‘smart’ appliances and gadgets that can send and receive messages with each other are now as common as cookies on websites. Their ability to communicate with each other is made possible by a messaging technology called Message Queueing Telemetry Transport (MQTT). How do devices do this?

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Topic Modeling on Customer Reviews using BERTopic and Llama2

Towards AI

Topic Modeling on Customer Reviews using BERTopic and Llama2 A Quick Guide to Creating Interpretable Topics from Customer Reviews with BERTopic and Llama2 using Ollama. Topic modeling is a technique that facilitates the discovery of main themes and topics within a vast collection of text documents.

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How was your 2023 at Character AI?

Dataconomy

recapped, you can access a wealth of data collected from your messages, ratings, and feedback. For instance, you can see the number of messages you exchanged with each character, the topics you discussed most, and the moments that stood out for you. The report generated by C.ai So, what are you waiting for?

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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

Operating on a publish-subscribe messaging model, where producers are tasked with publishing data to topics while consumers subscribe to these topics to process the data. Let's take a better look at the key components: Producers: They publish/push records to Kafka topics. Now let’s take a look at our data.