Linking pages
- Vid2Seq: a pretrained visual language model for describing multi-event videos – Google AI Blog https://ai.googleblog.com/2023/03/vid2seq-pretrained-visual-language.html 16 comments
- How to use Grounding for your LLMs with text embeddings | Google Cloud Blog https://cloud.google.com/blog/products/ai-machine-learning/how-to-use-grounding-for-your-llms-with-text-embeddings/ 1 comment
- Multimodal generative AI search | Google Cloud Blog https://cloud.google.com/blog/products/ai-machine-learning/multimodal-generative-ai-search 1 comment
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer – Google AI Blog https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html 66 comments
- [2205.01917] CoCa: Contrastive Captioners are Image-Text Foundation Models https://arxiv.org/abs/2205.01917 14 comments
- [2108.07258] On the Opportunities and Risks of Foundation Models https://arxiv.org/abs/2108.07258 11 comments
- [2111.11432] Florence: A New Foundation Model for Computer Vision https://arxiv.org/abs/2111.11432 2 comments
- Transformers for Image Recognition at Scale – Google AI Blog https://ai.googleblog.com/2020/12/transformers-for-image-recognition-at.html 1 comment
- SimVLM: Simple Visual Language Model Pre-training with Weak Supervision – Google AI Blog https://ai.googleblog.com/2021/10/simvlm-simple-visual-language-model-pre.html 0 comments
- ALIGN: Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision – Google AI Blog https://ai.googleblog.com/2021/05/align-scaling-up-visual-and-vision.html 0 comments
- Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing – Google AI Blog https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html 0 comments
- [1907.07174] Natural Adversarial Examples https://arxiv.org/abs/1907.07174 0 comments
- [1705.06950] The Kinetics Human Action Video Dataset https://arxiv.org/abs/1705.06950 0 comments
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