okpatil

Joined 13 years ago

Karma

Submissions

Member since

Aug 12

View on Hacker News

Recent submissions

Comment · 29 days ago

That's an absolutely fair way. More power to you !

Comment · 29 days ago

Don't assume. It has generic world knowledge. It is performing well on the benchmarks we didn't even train it on.

Comment · 1 month ago

Of course yes. They will be inside the executable.

Comment · 1 month ago

The same engine is is available as an evaluation API.

curl -s -X POST https://at0m.pienomial.com/decide/v0 \ -H 'Content-Type: application/json' \ -d '{ "state": "Charged twice for the same card payment this morning.", "questions": { "queue": {"type":"choice", "instructions":"Which team should handle this?", "criteria": {"billing":"invoices, charges, refunds", "technical":"outages, bugs, deploys", "fraud":"unauthorised or suspicious activity"}}, "urgent": {"type":"noul", "instructions":"Needs action today."}}, "email_id": "[email protected]"}'

If it fits your use case, you are welcome to use it.

When it is a rust standalone rust executable, as it is powering the API, it becomes just plug and play. No dependencies needed.

Comment · 1 month ago

Actually it was created around 12 years ago. We just launched the model around 3 days ago.

Apologies if it is too much of a bother.

Comment · 1 month ago

Point taken. Let me explain if you allow me.

It is possible with deterministic decision models, such as At0m, to gauge the probabilities at every decision. This behavior in addition to hard coded logic, it is possible to completely replicate a prompt's logic.

Using Fable 5.1, it is a matter of minutes.

I believe that most of the compliance check documents will be a solved problem, 3-6 months in future.

None of the LLMs can do it.

Hence I asked to the comment poster if he would want to demo, so that I can show it to him, how to do it step by step. By bad, if it came out too strongly.

Comment · 1 month ago

Good point.

To counter, most of the AI is not open. So is none of Microsoft Products. As long as they work, we keep using them.

Comment · 1 month ago

We were able to completely automate 20,100 token prompts with At0m[https://at0m.pienomial.com/].

We believe entire compliance workflows (even multilingual) could be automated.

Would you like to get a demo ?

Comment · 1 month ago

We got you. How would you use it though ? Through Apps ? Would love to discuss.

At0M: A 60M local Jev at 16 ms latency and 79% accuracy on Typed Decision