<think>
tags in an output. Due to this difference of structure from typical model requests, consider the following alterations.
<think>
tags are bypassed, you can enforce using them by telling the model to start with <think>
tags.temperature
= 0.6 and top-p
= 0.95. If you prefer more factual response, temperature
can be set as smaller one, such as 0.5.temperature
is 0.7 and top-p
= 1.0.Develop a comprehensive report on the state of autonomous vehicles. Present this report with organized sections and a breif summarization. Be careful to cite the achievements with the proper entity that made that achievement or contribution. For context: I am knowledgable in this field and have a technical understanding of autonmous vehicle systems. I've been working most of my career in artificial intelligence but have not yet joined a company with the sole focus of autonomous vehicles. I am considering making the career change and wanted to understand the current ecosystem before I go through the job search process.
Latency and cost
<think>
process, so consider using non-reasoning models for simpler tasks to optimize for budget and response time needs. It’s features have advantages of considering a user prompt more holistically, but also takes up token capacity and time to produce a complete answer. Developers should apply the powerful model in optimal situations for its response approach.Streaming
stream=True
into the model request.Function calling
I got BadRequestError: 400 about the maximum context length of DeepSeek-R1. Where can I check this information?
If the model was created by a Chinese company, where is it being hosted?
How can I access it?