Unite.AI

OCTOBER 30, 2023

As emerging DevOps trends redefine software development, companies leverage advanced capabilities to speed up their AI adoption. That’s why, you need to embrace the dynamic duo of AI and DevOps to stay competitive and stay relevant. Training AI models with subpar data can lead to biased responses and undesirable outcomes.

DevOps 310

DevOps Software Development Automation Artificial Intelligence 310

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. Build organizational resiliency around generative AI Organizations can start adopting ways to build their capacity and capabilities for AI/ML and generative AI security within their organizations.

Generative AI 116

Generative AI LLM ML AI 116

AWS Machine Learning Blog

NOVEMBER 16, 2023

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

Data Scientist 83

Data Scientist ML Data Science Automation 83

O'Reilly Media

NOVEMBER 28, 2023

People with AI skills have always been hard to find and are often expensive. While experienced AI developers are starting to leave powerhouses like Google, OpenAI, Meta, and Microsoft, not enough are leaving to meet demand—and most of them will probably gravitate to startups rather than adding to the AI talent within established companies.

Generative AI 106

Generative AI AI AI Data Analysis 106

Snorkel AI

FEBRUARY 27, 2023

His presentation also highlights the ways that Snorkel’s platform, Snorkel Flow, enables users to rapidly and programmatically label and develop datasets and then use them to train ML models. So all of this points to the pain or pessimistic bottleneck “takes” around data.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

Snorkel AI

FEBRUARY 27, 2023

His presentation also highlights the ways that Snorkel’s platform, Snorkel Flow, enables users to rapidly and programmatically label and develop datasets and then use them to train ML models. So all of this points to the pain or pessimistic bottleneck “takes” around data.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

Topbots

SEPTEMBER 11, 2023

While each of them offers exciting perspectives for research, a real-life product needs to combine the data, the model, and the human-machine interaction into a coherent system. AI development is a highly collaborative enterprise. Train your ML model from scratch.

AI 59

AI AI UX Design Automation 59