Marktechpost

DECEMBER 11, 2024

Models were categorized into three groups: real-world use cases, long-context processing, and general domain tasks. Image Source : LG AI Research Blog ([link] Responsible AI Development: Ethical and Transparent Practices The development of EXAONE 3.5 Bilingual Models The evaluation benchmarks of EXAONE 3.5

AI Researcher 85

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Pickl AI

APRIL 27, 2023

Data Analytics Trend Report 2023: Data Science is an interdisciplinary field that focuses on filtering the data, categorizing it, and deriving valuable insights. Hence, introducing the concept of responsible AI has become significant. By adopting responsible AI, companies can positively impact the customer.

Data Science 52

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John Snow Labs

OCTOBER 19, 2023

Imagine asking your AI assistant about a contentious political issue, and it effortlessly mirrors your beliefs, regardless of the facts. It’s a phenomenon called sycophancy , and it’s a thorn in the side of AI development. trec : A dataset designed for question classification, facilitating precise categorization of queries.

LLM 52

LLM NLP Large Language Models Categorization 52

Chatbots Life

APRIL 19, 2024

They are followed by marketing and sales (42%), and customer service (40%); 64% expect it to confer a competitive advantage; By 2026, companies focusing on responsible AI could enhance business goal achievement and user acceptance by 50% ; Artificial intelligence disruption may increase global labor productivity by 1.5%-3.0%

Generative AI 52

Generative AI Software Engineer Chatbots Artificial Intelligence 52

John Snow Labs

OCTOBER 19, 2023

Furthermore, AI developers should consider the potential impact of their models on different ethnic and racial communities. To combat economic bias in AI, developers must ensure that training data and algorithms do not favor specific economic classes. harness.generate().run().report()

NLP 52

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Bugra Akyildiz

NOVEMBER 25, 2023

The concept of tiers for regulation emerges as a solution, with proposals to categorize models based on their impact on society, resources used, or evaluations of capabilities and risks. Collaboration and Education: Industry collaboration plays a pivotal role in addressing common challenges faced in AI development.

LLM 52

LLM Algorithm Machine Learning Categorization 52

Dlabs.ai

SEPTEMBER 24, 2024

A key aspect of the AI Act is its risk-based approach. Instead of applying uniform regulations, it categorizes AI systems based on their potential risk to society and applies rules accordingly. This tiered approach encourages responsible AI development while ensuring appropriate safeguards are in place.

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Topbots

DECEMBER 19, 2023

Presenters from various spheres of AI research shared their latest achievements, offering a window into cutting-edge AI developments. In this article, we delve into these talks, extracting and discussing the key takeaways and learnings, which are essential for understanding the current and future landscapes of AI innovation.

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IBM Journey to AI blog

JANUARY 9, 2024

In 2023, the European Union demonstrated its commitment to elevating AI as a national priority by progressing toward the finalization of the European Union Artificial Intelligence Act (EU AI Act). This initiative reflects IBM’s commitment to AI safety and ethics, promoting open innovation in AI development.

Artificial Intelligence 308

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ODSC - Open Data Science

MARCH 18, 2025

Session 2: Bayesian Analysis of Survey Data: Practical Modeling withPyMC Unlock the power of Bayesian inference for modeling complex categorical data using PyMC. This session takes you from logistic regression to categorical and ordered logistic regression, providing practical, hands-on experience with real-world surveydata.

Data Science 64

Data Science Machine Learning Software Engineer Data Scientist 64

Unite.AI

MARCH 6, 2024

Gemma's architecture leverages advanced neural network techniques, particularly the transformer architecture, a backbone of recent AI developments. It also supports easy deployment options, including Vertex AI and Google Kubernetes Engine.

Generative AI 133

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Dlabs.ai

DECEMBER 6, 2022

launched an initiative called ‘ AI 4 Good ‘ to make the world a better place with the help of responsible AI. Moreover, they develop clients’ projects and share their knowledge during in-house events, including the iMerit ML DataOps Summit or Women in Tech.

Artificial Intelligence 52

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ODSC - Open Data Science

MARCH 21, 2025

Led by Dwayne Natwick , CEO of Captain Hyperscaler, LLC, and a Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP) , these sessions will provide practical insights and hands-on experience in prompt engineering and generative AI development.

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Marktechpost

MAY 2, 2024

Human-centricity, respect for democracy and human rights, environmental preservation, sustainable development, equality, non-discrimination, and innovation are the guiding principles of AI development in Brazil. AIDA would create standards for ethical AI development, design, and application with a focus on justice and safety.

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