Our mission is simple: to provide deep-tech organizations with the exceptional talent needed for exponential growth and success. As deep-tech requirements constantly evolve, we are at the forefront of finding and placing the next generation of elite talent who will change the world.

We take our name from zero-shot learning, which is used when a model needs to make predictions on classes that were not seen during training. This type of learning is particularly useful in scenarios where gathering labeled data for all possible classes is not feasible or practical. 

Zero-shot learning allows the model to generalize to new classes based on the knowledge learned from the seen classes during training. It is commonly used in natural language processing tasks, image recognition, and other machine learning applications where the class space is constantly evolving 🚀

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