an hour ago
Let’s see…excessive emojis and wacky punctuation hmm maybe this whole readme is LLM generated.
23 minutes ago
I bet 80% of the project is LLM generated anyway
if its came at this point, why would we write readme md ourselves????
6 hours ago
do you have benchmarks on tasks with sparse rewards or partial observability? i feel like thats where most "train any agent" claims tend to break down
8 hours ago
What actually is this?
6 hours ago
A framework for optimizing LLM agents, including but not limited to RL. You can even do fine tuning, they have an example with unsloth in there.
The design of this is pretty nice, it's based on a very simple to add instrumentation to your agent and the rest happens in parallel while your workload runs which is awesome.
You can probably do also what DSPy does for optimizing prompts but without having to rewrite using the DSPy API which can be a big win.
7 hours ago
>What actually is this?
Based on the number of emojis, I doubt the author even knows.
5 hours ago
Parsing entireties of the I/O agent release version, which is the precommit as text prior to evaluation.
7 hours ago
All these agent documentations seem to compete for the most complex set of flow charts imaginable without ever mentioning what the Rube Goldberg machine is supposed to accomplish. Given that the real output in open source of these contraptions is zero, it seems that the flow charts are the goal. Some kind of modern art.
8 hours ago
> Turn your agent into an optimizable beast with ZERO CODE CHANGE (*almost*)!
OP didn’t think to include this very important fine print. Thanks OP!