Uploaded December 2021 | Updated September 2026, 3 hours ago
GLIDE is OpenAI's new Computer Vision (CV) model that performs better than DALLE. I show you how to generate images with GLIDE in this video. The images it generates are very high quality, some are nearly photorealistic. You can also make AI generated art with the model just by changing the prompt! The model is 3 billion parameters, though the public model is only 300 million parameters.
Paper: arxiv.org/abs/2112.10741
GitHub: github.com/openai/glide-text2im
Colab Notebook: colab.research.google.com/github/woctezuma/glide-text2im-colab/blob/main/text2im.ipynb
GLIDE is OpenAI's new Computer Vision (CV) model that performs better than DALLE. I show you how to generate images with GLIDE in this video. The images it generates are very high quality, some are nearly photorealistic. You can also make AI generated art with the model just by changing the prompt! The model is 3 billion parameters, though the public model is only 300 million parameters.
Paper: arxiv.org/abs/2112.10741
GitHub: github.com/openai/glide-text2im
Colab Notebook: colab.research.google.com/github/woctezuma/glide-text2im-colab/blob/main/text2im.ipynb
![Learning Language Through Games [Zero to Paper]](https://i.ytimg.com/vi/qY0nCUeQlXI/mqdefault.jpg "Learning Language Through Games [Zero to Paper]
Lets talk about natural language in Reinforcement Learning. Its also a form of language grounding because models are trained to learn connections between language and a non-text environments. I think language-conditioned RL is the way forward for making more efficient, general AI training. Let me know what you think of this combination between NLP and RL in the comments!
Zero to Paper playlist: https://www.youtube.com/playlist?list=PL_49VD9KwQ_ONxENRk11jFEI3_pqAwaug
Inverse Reinforcement Learning video: https://www.youtube.com/watch?v=qo355ALvLRI
Papers covered:
https://arxiv.org/pdf/2005.09382.pdf
https://arxiv.org/pdf/1902.07742.pdf
https://arxiv.org/pdf/1806.01946.pdf")
