Fine-tuning for production apps. Train higher quality, faster models.

Joined August 2009
3 Photos and videos
Pipe retweeted
May 30
Replying to @Openpipe_AI
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Super excited to announce our Mixture of Agents model FT pipeline: beats GPT-4, but 25x cheaper! - Humans prefer MoA outputs vs GPT-4 59% of the time - New SOTA on both Arena-Hard (84.8) and Alpaca Eval (LC 68.4) - Optimized for synthetic data generation for fine-tuning 🧵
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used Llama 3.1 using OpenPipe.AI the results are encouraging.
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Lora inference is part of our recent release with OpenPipe.AI and I was told we're working on an independent way to do lora inference on wandb.ai inference.

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Big launch from OpenPipe.AI : We just launched Serverless RL — train agents faster and cheaper with zero infra headaches. Compared to running your own GPUs, Serverless RL is: - 40% cheaper - 28% faster wall‑clock - instantly deployed to prod via @wandb Inference
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