Enacting visibility, input, and accountability for both the development and operations teams ensures secure SSCs and provides an opportunity to strengthen DevOps culture.
Extractive summarization is a prominent technique in the field of NLP. Learn how you can pull key sentences out of a corpus of text using BERT Summarization.
LLM evaluation is constantly changing as the models improve; LLMs don't have simple right/wrong answers, making results subjective, so testing methods need to adapt.
AI advancements in API technology involve enhancing NLP capabilities, improving algorithmic decision-making through reinforcement learning, and expanding AI integration.
Import historical data into a stream table in chronological order as “real-time data” so that the same script can be used both for backtesting and real-time trading.
Learn how to implement a data pipeline that integrates Apache Kafka with AWS RDS and use AWS Lambda and API Gateway to feed data into a web application.
The article introduces the AWS SNS Fanout architecture as a solution for high-speed message distribution and highlights its scalability, reliability, and cost-efficiency.
In this article, we will explore the importance of logging and monitoring in Azure, as well as various options and best practices for logging and monitoring.
Predicate allows developers to filter and evaluate data collections. This article aims to explore the usage, structure, and key considerations of Swift Predicate.
Implementing ML on IoT devices demands efficient software engineering. Optimize models, use hardware accelerators, manage resources, and prioritize security for success.
Creating "autoincrement" fields in a distributed system such as Apache Ignite is difficult. In this piece, we explore four different options and their tradeoffs.