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Announcing OpenFlamingo: Unlock Vision-Language Model Training with In-Context Learning!

Figure 1. Flamingo framework open sourced. Retrieved from

We are excited to announce the launch of OpenFlamingo, an open-source framework for training vision-language models with in-context learning. The framework is designed to enable developers and researchers to quickly and easily build and deploy models that can understand the context of a given image or video.

OpenFlamingo provides a comprehensive set of tools that allow developers to create powerful vision-language models that can be used in a variety of applications, such as image captioning, visual question answering, and object detection. The framework also supports multi-modal learning, allowing developers to combine different types of data sources (e.g., images, text, audio) into a single model.

Figure 2. Flamingo Core: Blazingly fast frontends and web apps. Retrieved from

The framework is built on top of TensorFlow 2.0 and includes several pre-trained models that can be used out of the box. It also includes several tutorials and example projects that demonstrate how to use the framework for various tasks. Additionally, OpenFlamingo is extensible and allows developers to easily add their own custom layers or modules if needed.

We believe OpenFlamingo will provide an invaluable resource for developers and researchers who want to explore the possibilities of vision-language modeling with in-context learning. We look forward to seeing what amazing things people build with it!






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