

Deepseek R1 Lite Preview
Overview :
DeepSeek-R1-Lite-Preview is an AI model focused on enhancing reasoning abilities, demonstrating impressive performance in the AIME and MATH benchmark tests. The model features a real-time transparent thought process and plans to release an open-source version and API. The reasoning capabilities of DeepSeek-R1-Lite-Preview improve steadily with longer thought durations, showcasing better performance. According to product background information, this latest offering from DeepSeek aims to enhance user work efficiency and problem-solving skills through AI technology. Currently, the product is available for free trial, with specific pricing and positioning details yet to be announced.
Target Users :
Target audience includes professionals who require complex reasoning and problem-solving skills, such as data analysts, researchers, and developers. DeepSeek-R1-Lite-Preview enhances their efficiency in addressing complex issues by offering robust reasoning capabilities and a transparent thought process in real-time.
Use Cases
Data analysts use DeepSeek-R1-Lite-Preview for complex data analysis and pattern recognition.
Researchers leverage the model for scientific computations and experimental designs.
Developers utilize DeepSeek-R1-Lite-Preview as a backend reasoning engine while building intelligent systems.
Features
o1-preview-level performance in AIME & MATH benchmark tests.
Real-time transparent thought process.
Upcoming open-source model and API.
Steady improvement in reasoning capabilities with increased thought duration.
Supports multi-turn dialogue.
Supports chat prefix completion (Beta).
Supports FIM completion (Beta).
Supports JSON output.
Supports context caching.
How to Use
1. Visit the official DeepSeek website and register for an account.
2. Locate the introduction and API documentation for DeepSeek-R1-Lite-Preview on the website.
3. Follow the documentation to set up API call parameters, including temperature settings, token usage, etc.
4. Make your first API call to experience the reasoning capabilities of DeepSeek-R1-Lite-Preview.
5. Utilize the multi-turn dialogue feature to engage in in-depth discussions with the model, addressing complex problems.
6. Obtain structured result data via JSON output.
7. If necessary, use the context caching feature to enhance the coherence and efficiency of the dialogue.
8. Refer to the FAQ and Change Log for more product information and updates.
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