Unite.AI

DECEMBER 10, 2024

. “With Gentrace, were building not just a tool, but a framework that enables organizations to develop trustworthy, high-performing AI systems collaboratively and efficiently.” It has drastically improved our ability to predict the impact of changes in our AI models.

Generative AI 147

Generative AI Auto-complete LLM DevOps 147

IBM Journey to AI blog

AUGUST 15, 2023

AI is being implemented in key workflows like talent acquisition and retention, customer service, and application modernization, especially paired with other technologies like virtual agents or chatbots.

Artificial Intelligence 234

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 234

Marktechpost

JULY 14, 2023

It blends the features of both DevOps and ML to help organizations design robust ML pipelines with minimal resources and maximum efficiency. Power of MLOps in Making Generative AI even better Generative AI comes with the complexity of training and deploying the models, requiring massive computing resources and dedicated infrastructure.

Generative AI 52

Generative AI AI Developer AI Development DevOps 52

Becoming Human

APRIL 19, 2024

Higher quality of software and more customer happiness are the results of AI incorporation. Case Studies and Success Stories: GitHub Copilot: GitHub Copilot, which GitHub and Open AI developed together, is a great illustration of how Generative AI is changing code generation.

Software Development 103

Software Development Generative AI DevOps Automation 103

Unite.AI

JANUARY 25, 2024

This unprecedented increase signals a paradigm shift in the realm of technological development, marking generative AI as a cornerstone of innovation in the coming years. This surge is intricately linked with the advent of ChatGPT in late 2022, a milestone that catalyzed the tech community's interest in generative AI.

Prompt Engineer 182

Prompt Engineer Prompt Engineering NLP Generative AI 182

AWS Machine Learning Blog

SEPTEMBER 1, 2023

As per the definition and the required ML expertise, MLOps is required mostly for providers and fine-tuners, while consumers can use application productionization principles, such as DevOps and AppDev to create the generative AI applications. The next step is to start developing the generative AI application.

Generative AI 127

Generative AI Prompt Engineer Prompt Engineering ML 127

AWS Machine Learning Blog

FEBRUARY 29, 2024

These include developing a scalable and operationally efficient platform that adheres to organizational compliance and security standards. These include a fully managed AI development environment with an integrated development environment (IDE), simplifying the end-to-end ML workflow.

Data Scientist 125

Data Scientist DevOps AI AI 125

Marktechpost

DECEMBER 4, 2023

Durable makes it easy for developers to set up a website for their work in a matter of seconds. Leap AI Developers can access Leap AI’s AI APIs. The intuitive design of Leap AI’s APIs makes it possible for programmers without AI expertise to use them effectively.

AI Tools 134

AI Tools Auto-complete Artificial Intelligence Artificial Intelligence 134

Marktechpost

MAY 3, 2024

Durable makes it easy for developers to set up a website for their work in a matter of seconds. Leap AI Developers can access Leap AI’s AI APIs. The intuitive design of Leap AI’s APIs makes it possible for programmers without AI expertise to use them effectively.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 113

Flipboard

MARCH 5, 2025

SimilarWeb data reveals dramatic AI market upheaval with Deepseek (8,658% growth) and Lovable (928% growth) dominating while traditional players like Microsoft and Tabnine lose significant market share. Read More

OpenAI 170

OpenAI AI AI DevOps 170

AWS Machine Learning Blog

OCTOBER 9, 2023

However, implementing ML can be a challenge for companies that lack resources such as ML practitioners, data scientists, or artificial intelligence (AI) developers. His expertise spans application architecture, DevOps, serverless, and machine learning.

Machine Learning 102

Machine Learning Categorization ML DevOps 102

Marktechpost

JULY 5, 2024

With hands-on projects and real-world applications, Udacity’s AI courses provide practical experience in building and deploying AI solutions, preparing learners for roles in AI development and research. Students will gain skills in automating various stages of model building and monitoring.

Data Science 62

Data Science Machine Learning Data Analysis Software Engineer 62

Chatbots Life

MAY 16, 2023

as a certified partner for delivering end-to-end Conversational AI professional services leveraging LivePerson’s Conversational Cloud. Master of Code proposes to create a Proof of Concept (POC) within 2 weeks after the request to explore the advantages of using a Generative AI chatbot in your company.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

Heartbeat

OCTOBER 5, 2023

Image Credit: Shayne Longpre's webinar presentation — Introduction to AI and Public Policy: Harvard/MIT The MLOps Foundation Before we dive into the exciting world of LLMOps, let's take a moment to understand MLOps. Simplicity: By simplifying AI development, LLMOps reduces complexity and makes AI more accessible and user-friendly.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

Marktechpost

JULY 17, 2023

Best predictive analytics tools and platforms H2O Driverless AI H2O, a relative newcomer to predictive analytics, became well-known thanks to a well-liked open source solution. The platform offers trustworthy AI services, data engineering, machine learning, MLOps, and decision intelligence.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Pickl AI

APRIL 27, 2023

By adopting responsible AI, companies can positively impact the customer. It will also focus on regulating the moral behavior of AI developers and engineers while designing and developing AI solutions. It will help them focus on making the business operations more transparent and adopt an unbiased approach.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Python 52

Viso.ai

MARCH 1, 2023

Hence, AI development is traditionally associated with advanced software engineering skills and significant development experience. The transformative potential of low-code AI development is evident. Depending on the platform, it becomes easier for beginners to get started with AI technologies.

Computer Vision 52

Computer Vision Software Development AI AI 52

Bugra Akyildiz

JUNE 9, 2024

The authors argue that massive amounts of compute will likely be an essential input for developing the most capable AI systems over the next 10-15 years. MLRun breaks the silos between data, ML, software, and DevOps/MLOps teams, enabling collaboration and fast continuous improvements.

Deep Learning 40

Deep Learning Algorithm DevOps Data Science 40

Mlearning.ai

JUNE 10, 2023

1) The importance of humanizing AI: using a behavioral lens to bridge the gaps between humans and machines Link- [link] Abstract- One of the biggest challenges in Artificial Intelligence (AI) development and application is the lack of consideration for human enhancement as a cornerstone for its operationalization.

Large Language Models 52

Large Language Models Algorithm LLM AI 52

ODSC - Open Data Science

MARCH 27, 2025

DatasaurAI-Powered DataLabeling Datasaur focuses on improving AI development with its open-source data labeling solutions. JFrogDevOps and Artifact Management JFrog offers open-source tools for DevOps, artifact management, and continuous integration.

Data Scientist 52

Data Scientist DevOps Data Science Machine Learning 52

ODSC - Open Data Science

MARCH 21, 2025

DatasaurAI-Powered DataLabeling Datasaur focuses on improving AI development with its open-source data labeling solutions. JFrogDevOps and Artifact Management JFrog offers open-source tools for DevOps, artifact management, and continuous integration.

Data Scientist 52

Data Scientist DevOps Data Science Machine Learning 52

AWS Machine Learning Blog

MARCH 18, 2025

Enterprise-grade features with built-in capabilities including: Advanced parallelism techniques Memory optimization strategies Distributed checkpointing Streamlined deployment pipelines By consolidating these powerful features into a unified framework, NeMo significantly reduces the complexity and cost associated with generative AI development.

Generative AI 101

Generative AI Deep Learning Python Data Mining 101

AI News

FEBRUARY 3, 2025

Benefits of AI consultancy: Custom AI solutions: Outsourced teams with AI expertise can develop tailored solutions that address specific business challenges, like predictive analytics, chatbots, or recommendation systems.

Software Development 208

Software Development Artificial Intelligence Artificial Intelligence DevOps 208