PSA because apparently we're getting confused with closed-down competitors: all OpenPipe users can export their fine-tuned models at any time. No lock-in nonsense here!

I am not sure whether we want more Sydneys in the world but if you do you can 100% use OpenPipe to build them. 🫡

We <3 Helicone

Our CEO Kyle Corbitt is giving a talk next Wed in SF w/ Emmanuel Turlay and Charles 🎉 Frye. Kyle's topic is on fine-tuning best practices to get far higher quality LLM results vs prompting alone, and when to explore this optimization technique. check it out! lu.ma/jfsyz0xc

Andrew White 🐦‍⬛ OpenPipe is super easy to use.

@WisprAI gets very low latency, low costs and extremely high quality by using fine-tuned models through OpenPipe. Proud to have them as a customer, and congrats on the launch!

I write about this shift and the tools I expect to be part of the permanent core dev stack: Together AI, Fireworks AI , Groq Inc, OpenPipe, Martian, Unstructured, LangChain , LlamaIndex 🦙 , Pinecone and Qdrant. Check out the article here:

@valeeaio terminal of truths Yep fine tune on llama using OpenPipe

We saw lots of fun games at our AIxGames Meetup with Clementine & OpenPipe. The Groq ASR API provides ultra-low latency audio transcription & translation for Whisper models. If you're a game developer, reach out to [email protected] to discuss the best model for your needs.

OpenPipe linked up w/ Wyatt Marshall CTO & Co-Founder of Halluminate so he could have an in-depth conversation on how to build a robust Evals system for your production GenAI technology w/ Reid Mayo (Founding AI Engineer). Check it out!: youtube.com/watch?v=1ygD4o…

I'm in the unfortunate position to let you know that I've fallen for the RL-LLMs propaganda 100% with these results from openpipe I am now fully RL pilled and there is no turning back very sorry folks

Yacine Mahdid One thing that surprised me pretty much is how well feedback from LLM is for automatic improvement. OpenPipe is one example with RL, but it also works well with prompt optimization (sometimes outperforming RL), see GEPA paper. arxiv.org/abs/2507.19457

🚀 Big launch from OpenPipe: 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 Weights & Biases Inference

Sept 8: CoreWeave acquires OpenPipe Oct 8: OpenPipe ships Serverless RL

Weights & Biases CoreWeave the coreweave acquisitions is about to facilitate the ultimate end to end platform

We've started a great tradition at CoreWeave of shipping an integrated new product weeks after acquisition - congrats OpenPipe on the serverless RL launch!

Maziyar PANAHI Trelis Research Weights & Biases Serverless RL from the OpenPipe crew (now also at Coreweave) with W&B inference is pretty sweet - new models being added soon too openpipe.ai/blog/serverles…

Morgan McGuire Trelis Research Weights & Biases OpenPipe i am looking forward to OpenPipe next week on Alex Volkov (Thursd/AI) podcast, see what's new and what's ahead. awesome! looking forward to it.

The Custom SLMs era is upon us 🙌 - Nanochat by Andrej Karpathy - Thinker (PEFTaaS) by Thinking Machines - Tunix (Post-train in Jax) by Google AI - Art (Agent RL) by OpenPipe - Environments Hub by Prime Intellect - NeMo Microservices by NVIDIA

LIVE: Kyle Corbitt, Head of the OpenPipe team at CoreWeave, joins ThursdAI to talk about launching the first Serverless Reinforcement Learning capability. x.com/i/broadcasts/1…