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lmeierhoefer

HN member
Joined
Tue, Mar 19, 2024, 9:51 AM UTC
HN karma
55
Public activity
13 items

About lmeierhoefer

https://www.reflexiverecursion.com

Recent public activity

  1. comment
    Comment #43545152

    We are not doing RLHF but fine-tuning directly on a reward function. Our task was around improving a coding agent, coding in JSONata( https://jsonata.org ). GPT4o is quite bad in t…

  2. comment
    Comment #43545049

    Yes, we wanted to incentivize, that people who want to use the platform (redeeming the $20 training credits) are also joining a slack channel, so we can give direct support. We sho…

  3. comment
    Comment #43539757

    No, not really. As I posted in the other thread, there are quite a few historical examples of why the big labs won’t take the entire market. They will push to publish something lik…

  4. comment
    Comment #43539471

    Thanks! Yes, absolutely. OpenAI already has a reinforcement learning fine-tuning API in closed beta. However, historically, they’ve always left significant room for integrations in…

  5. comment
    Comment #43539032

    Yes, great point. We are currently working on multistep RL. The big problem with the trivial approach (give a single reward to the entire (ReAct) trajectory) is that the model rece…

  6. story
    Launch HN: Augento (YC W25) – Fine-tune your agents with reinforcement learning

    Hi HN, we’re the cofounders of Augento ( https://augento.ai/ ). We’re building Deepseek R1-like fine-tuning as a service. You connect your agent, tell us when it’s right or wrong, …

  7. comment
    Comment #43425734

    Hi HN, we are building a reinforcement-learning fine-tuning service for LLMs. As we know, agents fail all the time. Especially when you try to use them for something actually usefu…

  8. story
  9. comment
    Comment #42743733

    You are right that, at the moment, the system inherently requires a 64-bit OS. We currently support Debian-based distros; it should work with other parent distributions as well, bu…

  10. comment
    Comment #42743556

    We will most likely go with an open-core model. The main part will stay open source (the Core OS extension is under GPL3, and everything SDK-related is MIT). For paid features, we …

  11. comment
    Comment #42743130

    Thanks for the feedback! > I would just take a centralized framework and stick it inside an oversized drone/vehicle capable of carrying the added weight Makes sense. I think there …

  12. comment
    Comment #42742276

    > Is this primarily a passion project or are you hoping to get corporate sponsorship & adoption? We are in the current YC W25 batch and our vision is to build a developer framework…

  13. comment
    Comment #42741274

    Yeah, SLAM seems also like a natural showcase for us. I am just working on a decentralised collaborative SLAM package on top of our system, where multiple robots can drive around a…