Viewing profile — lmeierhoefer
lmeierhoefer
HN member- Joined
- Tue, Mar 19, 2024, 9:51 AM UTC
- HN karma
- 55
- Public activity
- 13 items
- HN profile
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About lmeierhoefer
Recent public activity
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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…
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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…
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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…
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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…
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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…
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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, …
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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…
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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…
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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 …
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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 …
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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…
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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…