DeepSeek provides several APIs that developers can use to access its machine learning models. These APIs are designed to integrate into various applications, allowing developers to leverage DeepSeek’s capabilities for tasks such as data analysis, natural language processing, and image recognition. The primary APIs include the Model Inference API, the Training API, and the Data Management API.
The Model Inference API is the most commonly used, allowing developers to send input data to DeepSeek’s models and receive predictions or outputs. For example, if you are building an application that needs to classify images, you would use this API to upload the images and get back labels or classes assigned by the model. The API typically accepts JSON formatted requests, making it straightforward to implement in most programming languages. Additionally, this API may offer different endpoints for various types of models, so you can select the one that fits your needs, whether it’s for text generation or sentiment analysis.
The Training API enables developers to fine-tune existing models or even train new models using custom datasets. This can be particularly useful when you require a model that understands specific industry terminologies or user data patterns. For instance, if you're creating a chatbot for customer support in the healthcare sector, you might want to train the model with relevant dialogues and terminology. The Data Management API helps manage and preprocess the data before training, allowing you to upload datasets, perform cleaning operations, and set parameters such as training epochs. Together, these APIs ensure that developers have the tools needed to build and optimize applications powered by DeepSeek’s machine learning technology.