Learn Prompting is the largest and most comprehensive course in prompt engineering available on the internet, with over 60 content modules, translated into 9 languages, and a thriving community.
Material da UFSM sobre a ferramenta H5P, o pdf é uma forma interessante para os docentes e interessados, pois facilita no momento em que os mesmos estiverem criando conteúdos por meio da ferramenta.
Topic modelling refers to the task of identifying topics that best describes a set of documents. These topics will only emerge during the topic modelling process (therefore called latent). And one…
A tutorial that teaches you everything it takes to render 3D graphics with the Vulkan API. It covers everything from Windows/Linux setup to rendering and debugging.
This is a PyTorch implementation/tutorial of Deep Q Networks (DQN) from paper Playing Atari with Deep Reinforcement Learning. This includes dueling network architecture, a prioritized replay buffer and double-Q-network training.
An introduction to what a Mesh, Shader and Material is in Unity, how to set Shader Properties from C#, a brief look at Forward vs Deferred rendering and some information about Material instances and Batching. HLSL | Unity Shader Tutorials, @Cyanilux
Foi desenvolvido e disponibilizado pela equipe do Núcleo de Apoio a Tecnologias Educacionais (Nate) o Manual do WebConf para docentes.
Nele, há diversas informações que poderão ajudar com as dúvidas dos docentes.
Está disponível para download gratuito a edição atualizada do e-book Acessibilidade em Ambientes Virtuais. O material reúne dicas de boas práticas para auxiliar a produção de materiais e a adaptação do ensino no ambiente virtual para pessoas com baixa visão, cegas, portadoras de deficiência auditiva e surdas.
Ensino remoto - Minhas estratégias de ensino em tempos de coronavírus. Ricardo Biloti. Professor Doutor na Universidade Estadual de Campinas (Unicamp), no Departamento de Matemática Aplicada do Instituto de Matemática, Estatística e Computação Científica (IMECC).
C. Callaway, and J. Moore. Proceedings of the Eleventh European Workshop on Natural Language Generation, page 123--130. Stroudsburg, PA, USA, Association for Computational Linguistics, (2007)
K. Boyer, E. Ha, M. Wallis, R. Phillips, M. Vouk, and J. Lester. Proceeding of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, page 141--148. Amsterdam, The Netherlands, The Netherlands, IOS Press, (2009)
M. Dzikovska, C. Callaway, E. Farrow, J. Moore, N. Steinhauser, and G. Campbell. Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, page 38--45. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)
M. Chi, P. Jordan, K. VanLehn, and D. Litman. Proceeding of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, page 197--204. Amsterdam, The Netherlands, The Netherlands, IOS Press, (2009)
M. Buckley, and M. Wolska. Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1, page 73--80. Stroudsburg, PA, USA, Association for Computational Linguistics, (2008)