OpenPipe
@OpenPipeAI
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OpenPipe: Fine-tuning for production apps. Train higher quality, faster models. (YC S23)
San Francisco
Joined August 2023
Coming soon!
@jeremyphoward @Teknium1 @aidanshandle 👀 Lora inference is part of our recent release with @OpenPipeAI and I was told we're working on an independent way to do lora inference on @wandb inference. Will keep you posted if you'd like Jeremy 🫡
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We as a team are learning RL for the first time this weekend. We're totally new to this field, but @OpenPipeAI's docs really helped us kickstart! @weights_biases
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.@corbtt did a great job on this pod, he's a cool guy, recommended https://t.co/tIBjmUAcur
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some thoughts on why/how the standard paradigm for optimizing Task Specific Agents will be Harness Engineering + Rubric Based Task Specific RL. this write up codifies a lot of my thoughts on where harness engineering is going + inspiration from @corbtt on @latentspacepod
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LIVE: Kyle Corbitt, Head of the OpenPipe team at CoreWeave, joins ThursdAI to talk about launching the first Serverless Reinforcement Learning capability.
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The Custom SLMs era is upon us 🙌 - Nanochat by @karpathy - Thinker (PEFTaaS) by @thinkymachines - Tunix (Post-train in Jax) by @GoogleAI - Art (Agent RL) by @OpenPipeAI - Environments Hub by @PrimeIntellect - NeMo Microservices by @nvidia
Excited to release new repo: nanochat! (it's among the most unhinged I've written). Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single,
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@morgymcg @TrelisResearch @weights_biases @OpenPipeAI i am looking forward to @OpenPipeAI next week on @altryne podcast, see what's new and what's ahead. awesome! looking forward to it.
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@MaziyarPanahi @TrelisResearch @weights_biases Serverless RL from the @OpenPipeAI crew (now also at Coreweave) with W&B inference is pretty sweet - new models being added soon too https://t.co/xEkguCluHF
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We've started a great tradition at CoreWeave of shipping an integrated new product weeks after acquisition - congrats @OpenPipeAI on the serverless RL launch!
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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
Introducing the Environments Hub RL environments are the key bottleneck to the next wave of AI progress, but big labs are locking them down We built a community platform for crowdsourcing open environments, so anyone can contribute to open-source AGI
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@yacinelearning 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. https://t.co/hzMbQajZvs
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🚀 Big launch from @OpenPipeAI: 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
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🚀 Big launch from @OpenPipeAI: 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
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@weights_biases @CoreWeave the coreweave acquisitions is about to facilitate the ultimate end to end platform
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I write about this shift and the tools I expect to be part of the permanent core dev stack: @togethercompute, @FireworksAI_HQ , @GroqInc, @OpenPipeAI, @withmartian, @UnstructuredIO, @LangChainAI , @llama_index , @pinecone and @qdrant_engine. Check out the article here:
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We saw lots of fun games at our AIxGames Meetup with Clementine & @OpenPipeAI. The Groq ASR API provides ultra-low latency audio transcription & translation for Whisper models. If you're a game developer, reach out to sales@groq.com to discuss the best model for your needs.
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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!:
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@WisprAI gets very low latency, low costs and extremely high quality by using fine-tuned models through @OpenPipeAI. Proud to have them as a customer, and congrats on the launch!
Today, we’re excited to announce Wispr Flow 🚀 Just speak, and Flow writes for you, everywhere on your computer. No BS, no waitlist. Feel the magic 👉 https://t.co/ObLJvkmRI4
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