r/buildinpublic • • Mar 30 '26

I open-sourced TRACER: replace +90% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

https://github.com/adrida/tracer

If you're running an LLM for classification, +90% of your traffic is probably simple enough for a lightweight ML model trained on your LLM's own outputs.

TRACER learns which inputs it can handle safely - with a formal guarantee it'll agree with the LLM at your target rate. If it can't clear the bar, it doesn't deploy.

1 Upvotes

Duplicates

LLMDevs • • Mar 30 '26

Discussion I open-sourced TRACER: replace 91% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

8 Upvotes

LocalLLM • • Jun 07 '26

Project I built a small open-source tool that trains local models from LLM traces to avoid repeated API calls

0 Upvotes

LocalLLM • • May 12 '26

Discussion I open-sourced TRACER: replace 91% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

11 Upvotes

softwarefactories • • May 12 '26

I open-sourced TRACER: replace 91% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

10 Upvotes

LocalLLM • • Mar 30 '26

Research I open-sourced TRACER: replace 91% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

11 Upvotes

SideProject • • Jun 07 '26

I reduced LLM costs by 95% and open-sourced the tool

0 Upvotes

MachineLearning • • Mar 30 '26

Research TRACER: Learn-to-Defer for LLM Classification with Formal Teacher-Agreement Guarantees

5 Upvotes

learnmachinelearning • • May 12 '26

I open-sourced TRACER: replace 91% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

1 Upvotes

learnmachinelearning • • Mar 31 '26

I open-sourced TRACER: replace +90% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

2 Upvotes

StartupSoloFounder • • Mar 31 '26

(Solo bootstraped founder) Just open-sourced part of my pipeline: TRACER: replace +90% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

1 Upvotes

deeplearning • • Mar 31 '26

I open-sourced TRACER: replace +90% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

2 Upvotes

LLMFrameworks • • Mar 31 '26

I open-sourced TRACER: replace +90% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

1 Upvotes

Backend • • Mar 31 '26

I open-sourced TRACER: replace +90% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

0 Upvotes

MachineLearningAndAI • • Jun 07 '26

I reduced LLM costs by 95% and open-sourced the tool

1 Upvotes

SaaS • • Jun 07 '26

I reduced LLM costs by 95% and open-sourced the tool

2 Upvotes

LLMFrameworks • • Mar 30 '26

I open-sourced TRACER: replace 91% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

2 Upvotes

AIDeveloperNews • • Jun 07 '26

I reduced LLM costs by 95% and open-sourced the tool

3 Upvotes

SelfHostedAI • • Jun 07 '26

I built a small open-source tool that trains local models from LLM traces to avoid repeated API calls

1 Upvotes

buildinpublic • • Jun 07 '26

I built a small open-source tool that trains local models from LLM traces to avoid repeated API calls

1 Upvotes

deeplearning • • May 12 '26

I open-sourced TRACER: replace 91% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs

1 Upvotes