Unite.AI

MAY 21, 2024

Amidst Artificial Intelligence (AI) developments, the domain of software development is undergoing a significant transformation. Traditionally, developers have relied on platforms like Stack Overflow to find solutions to coding challenges.

AI Development 146

AI Development AI Developer Software Development Large Language Models 146

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.

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DevOps Software Development Automation Artificial Intelligence 308

AI News

MAY 3, 2024

.” Recognising the critical concern of ethical AI development, Ros stressed the significance of human oversight throughout the entire process. Softserve’s findings suggest that GenAI can accelerate programming productivity by as much as 40 percent.

Big Data 273

Big Data Explainability Generative AI AI 273

AWS Machine Learning Blog

DECEMBER 4, 2024

Engineers need to build and orchestrate the data pipelines, juggle the different processing needs for each data source, manage the compute infrastructure, build reliable serving infrastructure for inference, and more. Together, Tecton and SageMaker abstract away the engineering needed for production, real-time AI applications.

ML 83

ML Generative AI Machine Learning AI 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 110

Generative AI AI AI Data Analysis 110

AWS Machine Learning Blog

NOVEMBER 16, 2023

However, innovation was hampered due to using fragmented AI development environments across teams. This heterogeneity initially enabled different teams to move fast in their early AI development efforts, but is now holding back opportunities to scale and improve efficiency of our AI development processes.

Data Scientist 106

Data Scientist ML Data Science Automation 106

AWS Machine Learning Blog

NOVEMBER 7, 2024

Prompt chaining – Generative AI developers often use prompt chaining techniques to break complex tasks into subtasks before sending them to an LLM. A centralized service that exposes APIs for common prompt-chaining architectures to your tenants can accelerate development.

Generative AI 108

Generative AI AI AI Responsible AI 108