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Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd., doing business as DeepSeek, is a Chinese artificial intelligence company that develops large language models. Based in Hangzhou, Zhejiang, it is owned and funded by the Chinese

Text2Text Generation is a versatile and powerful approach in Natural Language Processing (NLP) that involves transforming one piece of text into another. This can include tasks such as translation, summarization, question answering, and more.

Image-to-Image is an important task in the field of image processing, where we convert images from one format or data type to another.

Task Zero-Shot Image Classification is an important task in the field of image processing and artificial intelligence. This task aims to classify images into different categories where the model has never been trained before.

The Object Detection task is an important task in the fields of computer vision and artificial intelligence. Its main objective is to detect and determine the position of objects within images or videos.

The DQA is a task in natural language processing and information retrieval that focuses on automatically generating accurate and relevant answers to questions based on a given document.

The Image Segmentation task is an important task in the fields of computer vision and image processing. Its main objective is to segment and classify different regions within an image to delineate the boundaries of objects.

Question Answering models can retrieve the answer to a question from a given text, which is useful for searching for an answer in a document. Some question answering models can generate answers without context!

Text Classification is the task of assigning a label or class to a given text. Some use cases are sentiment analysis, natural language inference, and assessing grammatical correctness.

Audio Classification is the task of assigning a label or class to a given audio. It can be used for recognizing which command a user is giving or the emotion of a statement, as well as identifying a speaker.