Unite.AI

JUNE 19, 2024

MLOps, or Machine Learning Operations, is a multidisciplinary field that combines the principles of ML, software engineering, and DevOps practices to streamline the deployment, monitoring, and maintenance of ML models in production environments. ML Operations : Deploy and maintain ML models using established DevOps practices.

Software Engineer 179

Software Engineer DevOps Machine Learning ML 179

AWS Machine Learning Blog

MARCH 10, 2025

The use of multiple external cloud providers complicated DevOps, support, and budgeting. Amazon Bedrock Guardrails implements content filtering and safety checks as part of the query processing pipeline. Anthropic Claude LLM performs the natural language processing, generating responses that are then returned to the web application.

DevOps 92

DevOps Metadata Auto-complete Automation 92

Unite.AI

JANUARY 25, 2024

Natural Language Processing (NLP), a field at the heart of understanding and processing human language, saw a significant increase in interest, with a 195% jump in engagement. Complementing this trend is the notable rise in popularity of related topics.

Prompt Engineering 179

Prompt Engineering Prompt Engineer NLP Generative AI 179

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Shuyu Yang is Generative AI and Large Language Model Delivery Lead and also leads CoE (Center of Excellence) Accenture AI (AWS DevOps professional) teams. Shikhar Kwatra is an AI/ML specialist solutions architect at Amazon Web Services, working with a leading Global System Integrator.

Generative AI 116

Generative AI Artificial Intelligence Artificial Intelligence Chatbots 116

AWS Machine Learning Blog

MARCH 1, 2023

Solution overview Amazon Comprehend is a fully managed service that uses natural language processing (NLP) to extract insights about the content of documents. Learn more about Simplify continuous learning of Amazon Comprehend custom models using Comprehend flywheel.

Data Ingestion 94

Data Ingestion DevOps ML Automation 94

AWS Machine Learning Blog

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. However, their training on massive datasets also limits their usefulness for specialized tasks.

Large Language Models 113

Large Language Models Generative AI LLM AI 113