Together.ai's API offers two significant features: JSON mode and function calling, which can enhance the integration with the DeepSeek R1 model. Here's how these features impact the integration:
JSON Mode
JSON mode allows users to specify a schema for the output of the model, ensuring that the responses are structured and adhere to a predefined format. This is particularly useful when integrating with DeepSeek R1, as it enables developers to receive structured data that can be easily processed and integrated into applications. By specifying a schema, developers can ensure that the model's output is consistent and aligned with their application's requirements, making it easier to automate tasks or extract specific information.
For example, when using DeepSeek R1, specifying a JSON schema in the prompt can help ensure that the model generates output in a valid JSON string, following the specified schema. This can be achieved by including a specific prompt that instructs the model to output in JSON format and adhere to a given schema[4].
Function Calling
Function calling allows the model to suggest and invoke external functions based on the input it receives. This feature is particularly useful for integrating with external data sources or services, such as fetching weather data or performing calculations. When using DeepSeek R1 with function calling, the model can intelligently determine when to invoke a function and suggest the appropriate parameters in a JSON object. This enables seamless integration with external services, enhancing the model's capabilities beyond text generation.
For instance, if you're building a chatbot that needs to provide weather forecasts using DeepSeek R1, you can define a function like `get_current_weather` and have the model suggest when to call this function with the appropriate location parameters. The response from the function can then be relayed back to the model to continue the conversation[1].
Impact on Integration
The integration of DeepSeek R1 with Together.ai's JSON mode and function calling features offers several benefits:
- Structured Output: JSON mode ensures that the output from DeepSeek R1 is structured and follows a predefined schema, making it easier to integrate into applications.
- Enhanced Capabilities: Function calling allows DeepSeek R1 to leverage external functions, enhancing its ability to interact with external data sources or services.
- Flexibility and Scalability: Together.ai's serverless API for DeepSeek R1 provides fast inference and scalability, making it suitable for large-scale applications[6].
Overall, these features enhance the usability and versatility of DeepSeek R1 by providing structured outputs and enabling seamless integration with external services, making it more suitable for complex applications.
Citations:
[1] https://www.together.ai/blog/function-calling-json-mode
[2] https://www.together.ai/models/deepseek-r1
[3] https://docs.together.ai/docs/prompting-deepseek-r1
[4] https://syntackle.com/blog/deepseek-ai-model-and-openrouter/
[5] https://www.reddit.com/r/LocalLLaMA/comments/1aczp2r/togetherai_introduces_jsonfunction_calling_mode/
[6] https://www.together.ai/blog/deploy-deepseek-r1-at-scale-fast-secure-serverless-apis-and-large-scale-together-reasoning-clusters
[7] https://azure.microsoft.com/en-us/blog/deepseek-r1-is-now-available-on-azure-ai-foundry-and-github/
[8] https://community.openai.com/t/question-about-function-calling-json-mode/562940
[9] https://www.together.ai/blog/deploy-deepseek-r1-and-distilled-models-securely-on-together-ai
[10] https://www.datacamp.com/tutorial/deepseek-api
[11] https://community.appsmith.com/content/guide/building-chat-app-deepseek-r1-and-togetherai-under-5-minutes
[12] https://thinktank.ottomator.ai/t/together-ai-offering-100-free-credits-and-deepseek-r1/4892