Viewing profile — arauhala

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Author here. I wrote this because "AI database" keeps getting used as one category when there are at least four architecturally different approaches, each with a different inferenc…

Hmm.. So, I'm correct, you are maintaining QA suites for 10k agents, their prompts, toolboxes and some scenarios. That sounds like an absolutely massive scale to do QA over. Runnin…

One of the key techniques is snapshotting the LLM (or any HTTP) request. This means that if the inputs won't change, the LLM will not be called. This will also snapshot /cache LLM …

Booktest is build based of 2 decade-career in data science. It has been used to support RnD on numerous LLM, ML, NLP, information retrieval and also more traditional software engin…

I'm bootstrapping my predictive database startup https://aito.ai/ :-) More specifically, I have worked on the demo https://github.com/AitoDotAI/aito-demo to make use cases visual a…

If I'm reading this correctly, a few themes PG touches here are: 1) loss of control when hiring a professional manager without intrusion to sub organization, because you rely on th…

Author here. The article seeks to answer the question "How to make ML / LMM development faster with higher quality?" The long format article seeks address the pain points in curren…

Regarding this topic, I found the following paper on TNT (three nightmare traits) interesting and bringing some clarity to the issues/confusions you are mentioning: https://www.fro…

Hi, Author here! :-) The project feels transformative, because the ML part was implemented an RPA developer using predictive database queries. It wasn't that complex data science p…

I wonder if you are familiar with the predictive databases? We at Aito.ai have gotten lot of interest from different RPA/no-node users and providers, and predictive database querie…