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Predibase has released the first Reinforcement Fine-Tuning platform, promising a groundbreaking approach to customizing LLMs using reinforcement learning. Use RFT to train open-source LLMs that outperform GPT-4, even when labeled data is limited.
Predibase Reinforcement Fine-Tuning
LLM reinforcement fine-tuning platform to improve LLM output
Will Van Eaton
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Tuning LLMs just got 100x easier—no massive datasets, no endless prompt engineering. With Predibase RFT, you can fine-tune models to outperform GPT-4 with just a dozen labeled examples. Yes, really.💡 Why is this game-changing?✅ No More Labeling Bottlenecks: Get performance that beats commercial LLMs without massive datasets.⚡ Rapid Iteration: Go from idea to deployment faster than ever.⚙️...
Predibase Reinforcement Fine-Tuning
LLM reinforcement fine-tuning platform to improve LLM output
Will Van Eaton
left a comment
Super excited to share this update! Our new Inference Engine is built from the ground up for high-volume, enterprise AI workloads. We're able to increase throughput by up to 4x vs. base model speeds using Turbo LoRA and FP8 quantization and automatically scale GPU resources to support load spikes without sacrificing speed. Let us know what you think!
Predibase Inference Engine
Serve fine-tuned SLMs 4x faster for 50% less cost.
The Predibase Inference Engine, powered by LoRA eXchange, Turbo LoRA, and seamless GPU autoscaling, serves fine-tuned SLMs at speeds 3-4 times faster than traditional methods and confidently handles enterprise workloads of 100s of requests per second.
Predibase Inference Engine
Serve fine-tuned SLMs 4x faster for 50% less cost.