Automation DevOps Generative AI Prompt Engineering 
IBM Journey to AI blog
OCTOBER 25, 2023
Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. From our perspective, the debate over architecture is over.
AWS Machine Learning Blog
MAY 1, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
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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).
IBM Journey to AI blog
JANUARY 15, 2024
Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools. Trend: Automation Like AI and ML, automation will be a huge driver of human productivity.
Mlearning.ai
JUNE 16, 2023
Increase your productivity in software development with Generative AI As I mentioned in Generative AI use case article, we are seeing AI-assisted developers. Overall Generative AI in SDLC Here is how Generative AI can help in SDLC stages (we may see more use cases as Generative AI matures).
ODSC - Open Data Science
DECEMBER 1, 2023
Over the course of 3+ hours, you’ll learn How to take your machine learning model from experimentation to production How to automate your machine learning workflows by using GitHub Actions. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.
AWS Machine Learning Blog
NOVEMBER 29, 2023
An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. With these tools in hand, the next challenge is to integrate LLM evaluation into the Machine Learning and Operation (MLOps) lifecycle to achieve automation and scalability in the process.
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