article thumbnail

The Future of Software Engineering: LLMs and Beyond

Heartbeat

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.

article thumbnail

Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

AWS Machine Learning Blog

In software engineering, there is a direct correlation between team performance and building robust, stable applications. Mainframe teams using BMC’s Git-based DevOps platform, AMI DevX ,can collect this data as easily as distributed teams can. Using a Git-based SCM pulls these insight together seamlessly.

DevOps 88
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

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.

article thumbnail

Designing generative AI workloads for resilience

AWS Machine Learning Blog

She has a diverse background, having worked in many technical disciplines, including software development, agile leadership, and DevOps, and is an advocate for women in tech. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

article thumbnail

Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

Responsible AI: Though these form part of the regular Azure ML workspace, we now include these components as a step that can be reviewed by a human. This manual step can ensure that the developed model adheres to the responsible AI principles. These include: 1.

article thumbnail

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

This article by Samhita Alla, a software engineer and tech evangelist at Union.ai, provides a simplified walkthrough of the applications of Flyte in MLOps. MLOps tools and platforms FAQ What devops tools are used in machine learning in 20233? Check out the documentation to get started.

article thumbnail

Definite Guide to Building a Machine Learning Platform

The MLOps Blog

It would make sure that all development and deployment workflows use good software engineering practices. CI/CD lets your engineers add code and data to start automated development, testing, and deployment, depending on how your organization is set up. . My Story DevOps Engineers Who they are? Model serving.