Articles

  • Jan 10, 2025 | iccdpp.org | John McCarthy

    The Careers and Transition Education Association of New Zealand (CATE) and the International Centre for Career Development and Public Policy are delighted to announce that the next International Symposium on Career Development and Public Policy will take place in Auckland, New Zealand in November 2026. CATE has graciously agreed to be the host organisation for the Symposium.

  • Jan 10, 2025 | iccdpp.org | John McCarthy

    Date & Heure Jan 20, 2025 12:00 CET (Brussels time) Le développement de carrière est au cœur de la conception des services modernes des SPE qui soutiennent les transitions de carrière. Cette récente enquête mondiale donne un aperçu des activités des SPE sur les cinq continents. Nous avons reçu un taux de réponse global élevé de 59%, avec une participation relativement homogène dans toutes les régions du monde.

  • Dec 3, 2024 | iccdpp.org | John McCarthy

    The five criteria for quality are:-Committed and trusted leadership-Meaningful and diverse knowledge-based practice-Sustainable past, present and futures-Self-determined success and well-being-Thriving and secure identities. All criteria are supported/informed by research and engagement insights. The next steps are to develop a strategic plan for quality in CEIAG to enable the enactment of the framework.

  • Nov 26, 2024 | zephyrnet.com | Andrew Ng |Decision-Making Ability |Meta AI |John McCarthy

    ('llama-3.1-8b-instant: n' ' The origins of Artificial Intelligence (AI) date back to the 1956 Dartmouth ' 'Summer Research Project on Artificial Intelligence, where a group of ' 'computer scientists, led by John McCarthy, Marvin Minsky, Nathaniel ' 'Rochester, and Claude Shannon, coined the term and laid the foundation for ' 'the development of AI as a distinct field of study.

  • Nov 26, 2024 | analyticsvidhya.com | PANKAJ SINGH |Meta AI |John McCarthy |Decision-Making Ability

    Andrew Ng recently released AISuite, an open-source Python package designed to streamline the use of large language models (LLMs) across multiple providers. This innovative tool simplifies the complexities of working with diverse LLMs by allowing seamless switching between models with a simple “provider:model” string.

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