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

Marktechpost

APRIL 7, 2024

This challenge is exacerbated when considering the continual pre-training of models across diverse grammatical and lexical structures. Recognizing these challenges, researchers have developed AURORA-M , a novel open-source multilingual LLM with 15 billion parameters.

AI Modeling 121

AI Modeling Large Language Models LLM Artificial Intelligence 121

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

IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.

Artificial Intelligence 190

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 190

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