Viewing profile — akisej

Let me ask you something I always ask my reports: if you were your manager, what would you do?

Pretty interface, although I remain unconvinced of how I'd actually use it. If I'm just prototyping for myself, LLM providers offer a decent history, and I rarely need to share not…

Appreciate the effort you put into this. In terms of user flow, I typically need one or two of these use cases at a time. In that case, I just type my conversion into a search engi…

Yup, that's part of it but I mean it bidirectionally - users can accidentally leak data to models too, which is concerning to SecOps teams without a way to monitor / auto-redact.

These common issues tend to prevent LLMs from being used in the wild: * Data Leakage * Hallucination * Prompt Injection * Toxicity So yes it does include prompt injection, but is a…

Great starting point! These diagrams notably miss a LLM firewall layer, which is critical in practice to safe LLM adoption. Source: We work with thousands of users for logicloop.co…

How about Amplitude or Heap? For an open source alternative you could consider PostHog.

Very cool, but curious if you see people actually directly interacting with LLMs vs in a script as part of a larger application? I see myself needing debugging, visualizing output …

Aw man, sorry to hear this about your friend. Inanimate objects are directly subject to the laws of physics, but living beings that have intention and will are able to circumvent t…

As long it's clear that this is fiction, how would something like this be more damaging than a series like The Man in the High Castle, or other sci-fi that imagines an alternate un…

Yeah, in general the more data you're able to use (assuming the context window supports it), the better results tend to be. We arrived at the data schema being a good enough compro…

This seems overall well-written and well-explained, but curious for that piece on fine-tuning. This article only recommends it as a last resort. That makes sense for a casual user,…

Thanks for sharing how you keep the discussion quality high here. We responded to some thought-provoking questions on this thread about differentiation vs ChatGPT, other SQL Copilo…

On simpler multi-table joins we've been able to product good results, and we've done a lot of prompt engineering to make sure it takes the schema very seriously so that prevents ha…

Thanks for sharing your experience. By organizing and storing queries, we hope to be able to improve these suggestions as well behind the scenes.

Yup, our bet is that people are going to want better integration into data sources and actions resulting from their queries, and that a lot of business value will come from that.

Yes, we can actually connect to third-party apps via APIs https://docs.logicloop.com/data-sources/supported-data-sourc...

That's a great idea for future improvements, thank you for trying it out!

Appreciate the vouch, @chatmasta! I actually did write those comments myself, and think that the 3-point explanation makes for a clear explanation. My cofounder and I both started …

We use a combination of APIs from existing LLM providers, and do some serious prompt engineering to get the best from them. We're starting to train models on more SQL-specific prom…

This feels like classic Hype Cycle content: the higher we peak on Inflated Expectations the lower we'll find ourselves on the Trough of Disillusionment.

I understand your skepticism, here's how we think about things - * We only send data schema to underlying models: No data is actually sent there, but yes when you connect your data…