Unite.AI

OCTOBER 20, 2023

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. Ensure data privacy and security: AI models use mountains of data.

Responsible AI 283

Responsible AI Generative AI AI AI 283

Unite.AI

MARCH 22, 2024

Ethical AI Development : Teaching AI to address ethical dilemmas through social learning could be a step toward more responsible AI. 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

MARCH 27, 2024

Likewise, ethical considerations, including bias in AI algorithms and transparency in decision-making, demand multifaceted solutions to ensure fairness and accountability. Addressing bias requires diversifying AI development teams, integrating ethics into algorithmic design, and promoting awareness of bias mitigation strategies.

AI 278

AI AI Natural Language Processing Automation 278

Unite.AI

APRIL 30, 2024

Fine-tuning these models adapts them to tasks such as generating chatbot responses. They must adapt to diverse user queries, contexts, and tones, continually learning from each interaction to improve future responses. It is essential to balance adaptability and consistency for chatbots.

Chatbots 204

Chatbots Neural Network BERT OpenAI 204

Pickl AI

JUNE 23, 2023

These models learn from the patterns and relationships present in the data to make predictions, classify objects, or perform other desired tasks. Continuous Learning and Iteration Data-centric AI systems often incorporate mechanisms for continuous learning and adaptation.

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

Pickl AI

JULY 18, 2023

Model Selection and Optimization Identifying appropriate machine learning models and techniques, fine-tuning parameters, and optimizing the performance of AI systems. Develop Programming Skills Master programming languages such as Python, R, or Java, which are widely used in AI development.

AI Architect 52

AI Architect AI Engineer Machine Learning Artificial Intelligence 52