svcrunch

8 ms·

31.
by svcrunch 4y ago
This guide reviews 13 prominent instruction-following LLMs given constraints like commercial or non-commercial usage, and self-hosted versus API access.
32.
Stop Stopping: Why stop word lists are problematic in search(vectara.com)
1 points by svcrunch 4y ago|1 comments
33.
by svcrunch 4y ago
The rise of neural retrieval systems has diminished the need to define stopword lists.
34.
by svcrunch 4y ago
This is an area that's dear to me, I'm the cofounder of Vectara and have been working with embedding-based semantic search, aka neural search or neural IR, since 2017. To whether Google uses semantic search, the answer is yes, ver
35.
by svcrunch 4y ago
JDBC definitely. I didn't mention it because I didn't think of it as part of the Java EE spec (JDBC preceded Java EE if I'm not mistaken). As far as Jetty handlers, they might be a good alternative to servlets. I admit I&#x27
36.
by svcrunch 4y ago
I think that's a bit harsh :-) They do mention DIN 66399 [1], which I didn't even know is a thing. It makes me wonder why Trump had to resort to flushing documents down the toilet? [1] https://www.shreddingmachines.co.u
37.
by svcrunch 4y ago
My advice would be to focus on servlets deployed into an embedded Jetty instance within your server, and that's about it! The other parts, like Session and Entity EJBs, JMS, Java Server Pages, SOAP, SAR and WAR packaging formats, JNDI
38.
by svcrunch 4y ago
I agree with many aspects of your assessment, but when you say, "The concept of an easy to use, fire-and-forget, scalable search engine that gives you great relevance out of the box isn't new. Yet the bag-of-words model remains th
39.
by svcrunch 5y ago
Also take a look at Semantris: https://research.google.com/semantris
40.
by svcrunch 5y ago
> You give it a query and it returns a value that it has learned to associate with the query during training. The zero-shot scenario they describe does not work like this. They explicitly mention that it's not trained with any queri
41.
by svcrunch 5y ago
This is fascinating, as far as pushing the creative boundaries of how to accomplish IR with neural networks, and showing the potential headroom that's available. It seems wildly impracticable to productionize at the moment (excepting G
42.
by svcrunch 5y ago
In a similar vein, we showed how to make Rasa search for answers using ZIR Semantic Search: https://blog.zir-ai.com/semantic-search-helps-chatbots-answe... There was a dramatic jump in recall (13->74%) and F1 (20->63%
43.
by svcrunch 5y ago
Agree with your sentiment. I cofounded ZIR AI to provide ML (vector)-based search as a PaaS solution, similar to what Algolia or Elasticsearch do for keyword searching. We have a demo ( https://zir-ai.com/demo ) running over
44.
by svcrunch 5y ago
There must be a problem with the mp3. I'm listening online and there's no such issues.
45.
by svcrunch 5y ago
Vector databases are central infrastructure for the information retrieval systems of the future. The writeup was interesting. I'm curious how you would compare pinecone.io to Google Vertex Matching Engine? At ZIR AI (I am the cofounder
46.
by svcrunch 5y ago
Very nice writeup. I have an idea how this might be implemented. Since you rightfully want to keep the details private, let me just ask: How do you handle the case where the probed clusters contain no elements satisfying the filter criteria
47.
by svcrunch 5y ago
> An example in NLP world is BERT-like NNs, that allow you to embed your text into a dense vector representation. I might say transformer-based NNs instead. The problem with cross-attentional models like BERT is that they won't scal
48.
by svcrunch 5y ago
Hi Dmitry, I am cofounder of ZIR AI ( https://zir-ai.com/ ). I researched neural information retrieval at Google, before starting ZIR in 2020. (Note: Vespa, who appear in your article, reference some of my work in [1]) To giv
49.
by svcrunch 5y ago
> gives me generic blank documents that someone created as a placeholder ... fails to find synonyms or related words ... Add lots of tags These kinds of problems can be solved using neural networks as the foundation for search (variously
50.
by svcrunch 5y ago
Hi there. One of the first customers we had (zir-ai.com) asked for help building a better JIRA search. I think neural-network powered search will be the long-term solution for Wiki search specifically, and SaaS search more generally. Keywor
51.
by svcrunch 5y ago
Support for vector indexes and vector similarity queries (dense, and sparse-dense). I believe PostgreSQL and MySQL will support this within a few years.
52.
by svcrunch 5y ago
Cross-language fuzzy search can be handled by ZIR Semantic Search (I'm the cofounder, btw :-) Feel free to try the Covid-19 FAQ demo ( https://zir-ai.com/demo#covid ) with queries in Spanish or Chinese. For translations,
53.
by svcrunch 5y ago
It would be interesting to compare how competitive these recommendations are with a multi-armed bandit. i.e., does a bandit represent the upper performance limit of ignoring the distinction between causation and correlation?
54.
by svcrunch 5y ago
I've had a similar experience with DynamoDB from AWS. They talk about elastic scalability and whatnot, but once you have real load, you need to buy dedicated capacity. $2000/month of DynamoDB write capacity wasn't even giving
55.
by svcrunch 5y ago
Hi Nicolás, I think that this could be very useful, but you need two additional elements: 1. Automatic transcription of the audio, so that you can read whatever was said. 2. A good search over the transcriptions. So if I ask, "When am
56.
by svcrunch 5y ago
Hi, thanks for sharing. I work in neural information retrieval, so this was a useful survey. Are you familiar with "Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation" by Ma et al.? Do you have su
57.
by svcrunch 5y ago
Hi Richie. I watched your demo video. Good luck with Clarity! I noticed you have a search feature, and I'm guessing it's keyword based (Algolia/Elasticsearch)? If you searched for "team is overworked", could it retu
58.
by svcrunch 5y ago
> Could you give an example for "meaning" which is not "human-created"? Without providing a more objective definition of "meaning", this question seems circular. Hypothetically, if someone gave you the examp
59.
by svcrunch 5y ago
I'll just add some supporting material from one of my favorite authors, Leo Tolstoy. > Just do something that helps others, take some responsibility in the real world, even if it's small but at least you're doing something
60.
The High Cost of Keyword Search(blog.zir-ai.com)
56 points by svcrunch 5y ago|45 comments

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