Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.

Responsible AI 283

Responsible AI Generative AI AI AI 283

Unite.AI

MARCH 22, 2024

Cross-Modality Learning : Extending social learning beyond text to include images, sounds, and more could lead to AI systems with a richer understanding of the world, much like how humans learn through multiple senses. The focus would be on developing AI systems that can reason ethically and align with societal values.

Large Language Models 297

Large Language Models AI AI Artificial Intelligence 297

Unite.AI

APRIL 30, 2024

AI models, particularly chatbots, learn from interactions through various learning paradigms, for example: In supervised learning , chatbots learn from labeled examples, such as historical conversations, to map inputs to outputs. It is essential to balance adaptability and consistency for chatbots.

Chatbots 204

Chatbots Neural Network BERT OpenAI 204

Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

AWS Machine Learning Blog

MAY 9, 2024

Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI.

ML 106

ML Generative AI AI AI 106

ODSC - Open Data Science

SEPTEMBER 26, 2023

At ODSC West 2023 , you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

Data Science 52

Data Science Data Scientist Continuous Learning Deep Learning 52

Pickl AI

JULY 18, 2023

AI Architect: While AI Engineers and AI Architects are both involved in the development of AI systems, there are notable distinctions between their roles. AI Engineers focus primarily on implementing and deploying AI models and algorithms, working closely with data scientists and machine learning experts.

AI Architect 52

AI Architect AI Engineer Machine Learning Artificial Intelligence 52