AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

Generative AI 75

Generative AI LLM AI AI 75

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

Generative AI 120

Generative AI Prompt Engineering Prompt Engineer ML 120

AWS Machine Learning Blog

FEBRUARY 21, 2025

Responsibility for maintenance and troubleshooting: Rockets DevOps/Technology team was responsible for all upgrades, scaling, and troubleshooting of the Hadoop cluster, which was installed on bare EC2 instances. Despite the support of our internal DevOps team, our issue backlog with the vendor was an unenviable 200+.

Data Science 67

Data Science Data Scientist Data Ingestion DevOps 67

AWS Machine Learning Blog

FEBRUARY 2, 2024

One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). Because embeddings are an important source of data for NLP models in general and generative AI solutions in particular, we need a way to measure whether our embeddings are changing over time (drifting).

ETL 108

ETL DevOps LLM Generative AI 108

AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process.

Data Science 127

Data Science Data Drift DevOps Auto-complete 127

Marktechpost

JULY 5, 2024

It covers advanced topics, including scikit-learn for machine learning, statistical modeling, software engineering practices, and data engineering with ETL and NLP pipelines. Machine Learning DevOps Engineer This course teaches software engineering fundamentals for deploying and automating machine learning models in production environments.

Data Science 60

Data Science Machine Learning Data Analysis Software Engineer 60

ODSC - Open Data Science

OCTOBER 9, 2024

Whether you’re working on front-end development, back-end logic, or even mobile apps, AI code generators can drastically reduce development time while improving productivity. Expect more features and enhancements in this domain, as companies continue to refine AI-driven code generation. How you might ask? The result?

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40