Neste bate papo conversamos um pouco acerca de GenIA. ReferĂȘncias e sugestĂ”es: - Generative Adversarial Networks (GANs) - https://arxiv.org/pdf/1406.2661 - Auto-Encoding Variational Bayes (Variational Autoencoders) - https://arxiv.org/abs/1312.6114 - Attention Is All You Need - https://arxiv.org/pdf/1706.03762 - BERT - https://arxiv.org/abs/1810.04805 - Language Models are Few-Shot Learners (GPT-3) - https://arxiv.org/pdf/2005.14165 - Zero-Shot Text-to-Image Generation (DALL-E) - https://arxiv.org/abs/2102.12092 - NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis - https://arxiv.org/pdf/2003.08934 - Mamba: Linear-Time Sequence Modeling with Selective State Spaces - https://arxiv.org/abs/2312.00752 - RNNs (Diagramas para referĂȘncia visual - Wikipedia) - https://en.wikipedia.org/wiki/Recurrent_neural_network Onde nos encontrar? - JP: https://bsky.app/profile/jpmartins.bsky.social - Lucas: por aĂ. - Rodolfo: https://bsky.app/profile/rdenadai.com.br
Fala pessoal! Segue o lançamento do nosso segundo episódio, e neles vamos conversar sobre a famigerada Generative AI (GenAI) que tanto esta na boca do povo (principalmente esses dias com o lançamento do DeepSeek). YouTube youtu.be/qulQCDwYskA Spotify open.spotify.com/episode/22fg...
btw, lançamos o segundo episódio do podcast, esse é sobre GenAI: youtu.be/qulQCDwYskA
Powered by
(but not affiliated with)
Created by mjd.dev