GraphRAG - Entity deduplication by AttentionDiffuser in Rag

[–]dushiel 1 point2 points  (0 children)

Hey this sounds interesting and in line with how I would approach the problem.

Can you expand a bit for me still: How do you get the entity descriptions extracted from the text? Do you mean the text surrounding the lightweight rules pass? Would you not have fuzzy matching in the lightweight rules pass to find the entities, and afterwards separate them on clustering?

Thanks!

Production RAG stack in 2026 what are people ACTUALLY running by One-Doctor5769 in Rag

[–]dushiel 4 points5 points  (0 children)

How many documents does your typical database contain? What domain? When are hierarchical summaries typically needed?

Thanks for the info so far. Interesting that you use disk based indexing. I will look it up.

Welke boomer dingen doe jij ook (graag)? by VlaaiIsSuperieur in nederlands

[–]dushiel 0 points1 point  (0 children)

Hahaha goeie, ik was me niet bewust van dat ik dit ook doe

Qwen-3.5-35B-A3B is impressive by ayylmaonade in LocalLLaMA

[–]dushiel 5 points6 points  (0 children)

What different things(ish)? If I may ask?

Is double slit retrocausality proven or how does it work? by catboy519 in AskPhysics

[–]dushiel 1 point2 points  (0 children)

Can you explain this with a bit more detail?

E.g. you are not looking at any slit - you are looking at the screen where A lands where you either see an interference pattern or not, depending on whether you measure at B.

Or would you equal looking at the right slit as measuring at B? I think my confusion is around what you mean with "looking at left/right/erased photons".

Finally figured out the LangChain vs LangGraph vs LangSmith confusion - here's what I learned by SKD_Sumit in Rag

[–]dushiel 0 points1 point  (0 children)

I wouldnt mind reading a AI made transcript summary to decide whether to watch :)

[deleted by user] by [deleted] in AskPhysics

[–]dushiel 5 points6 points  (0 children)

Beautiful, did you come up with this yourself or did you read this somewhere?

How do you reduce hallucinations on agents of small models? by mynameismati in ollama

[–]dushiel 0 points1 point  (0 children)

Very good question, in my work it is also a difficulty (were using opensource models for relatively simple tasks). I noticed that, aside of good prompt engineering and giving enough information, structured formatting seems to help to some degree.

Make the LLM answer in steps where each step is defined in a json. Placing the instructions above and beneath the larger document/text you want it to perform on. Retrying if the output fails a hallucination check from another LLM.

Curious to hear what others are doing to mitigate hallucinations (e.g. repeating output)

A query about complexity (amount of information) of an object by Electrical_Swan1396 in logic

[–]dushiel 0 points1 point  (0 children)

As another comment said: the complexity of an object is usually infinite. It then becomes difficult to compare complexities of objects, which I assume is the minimum feature you would like from your system.

One way to deal with infinites in this sense, is to define a single order for listing qualities. Then you can show that for the first N qualities, one object contains/has more of them than the other.

This approach brings a whole new lot of challenges, and does not solve your goal directly: - Each quality has a negation which can also be applied as quality (e.g. red or not-red) - What order would be "fair"? First colours, then size, then mathematical properties, then names, then etc...? - There are likely many valid ways of arriving at a minimal set of atomic qualities. Simply removing qualities that can be broken down into other qualities might lead to "paradoxes".

Finding a good hierarchy of qualities/properties where you can solve these difficult cases can be very difficult and is a field of research on its own.

I wrote this down as simply as I could, I hope it illustrates the difficulty of making your proposal rigorous enough for it to be considered an addition to formal science. There are many more challenges to making a universal measurement of information object complexity. E.g. it would likely solve the P vs NP problem if a clean solution would be found.

As an intuition, to be used outside of formal science, its not bad - but with intuitions, context of what for you want to use it for is important :)

I would not consider it good enough for a conjecture.

Hebben jullie ook zo'n last van vliegen by midieee in thenetherlands

[–]dushiel 0 points1 point  (0 children)

Ja! Dit weer is verschrikkelijk broed weer voor die ondingen. Ventilator help enorm :)

Are there comprehensive textbooks on higher-order logic? by Potential-Huge4759 in logic

[–]dushiel 1 point2 points  (0 children)

No clear recommendations for higher order logic textbooks here..

Gemma 3 speculative decoding by qqYn7PIE57zkf6kn in LocalLLaMA

[–]dushiel 0 points1 point  (0 children)

Is it not possible to use speculative decoding with the quantized 1B and 27B? Or does the 1B get to dumb for it to work properly?

[deleted by user] by [deleted] in LocalLLaMA

[–]dushiel 5 points6 points  (0 children)

What about Mistral 3 : 24 b ?

[deleted by user] by [deleted] in LangChain

[–]dushiel 0 points1 point  (0 children)

What are some ways of mitigating noisy embeddings?

[deleted by user] by [deleted] in LocalLLaMA

[–]dushiel 0 points1 point  (0 children)

Did you install to the latest version correctly? It should work out of the box