How do you accelerate advanced reasoning models without sacrificing accuracy? Watch a quick 30-minute AMA-style demo + webinar to find out!

AI models are evolving, but the biggest breakthroughs aren’t just about scaling up—they’re about smarter fine-tuning and efficient inference.

Take DeepSeek-R1, which recently outperformed OpenAI’s o1 by leveraging reinforcement learning to refine its reasoning abilities. However, like many advanced models, its structured, step-by-step logic comes at the cost of slower inference speeds.

That’s where Predibase Turbo comes in. Using Turbo Speculation, we can double inference speeds while preserving the structured reasoning that makes DeepSeek-R1 so powerful.

Join us for this exclusive webinar to learn:

🔹 Why reasoning models like DeepSeek-R1 are slow out of the box
🔹 The key to achieving 2x faster inference speeds with speculative decoding
🔹 How to apply Predibase Turbo to your own fine-tuned models

Reserve your spot now and be at the forefront of next-gen AI serving!

Featured Speaker:

ajinkya

Ajinkya Tejankar

Senior Research Engineer
Linkedin

Ready to efficiently fine-tune and serve your own LLM?