breadislove

7 ms·

31.
by breadislove 11mo ago
you should check mixedbread out. we support indexing multimodal data and making data ready for ai. we are adding video and audio support by the end of the year. might be interesting for the OP as well. we have couple investigative journalis
32.
From Control to Resonance: Why I Let an AI Decode My Voice(substack.com)
2 points by breadislove 11mo ago|0 comments
33.
Meta overhauls legacy AI operations(axios.com)
7 points by breadislove 1y ago|1 comments
34.
by breadislove 1y ago
or deberta but nevertheless super interesting!
35.
by breadislove 1y ago
For everyone wondering how good this and other benchmarks are: - the OmniAI benchmark is bad - Instead check OmniDocBench[1] out - Mistral OCR is far far behind most Open Source OCR models and even further behind then Gemini - End to End O
36.
by breadislove 1y ago
we have extremely processing heavy jobs where user upload large collection of files (audios, pdfs, videos etc.) and expect to get fast processing. its just that we need to fan out sometimes, since a lot of our users a sensitive to processin
37.
by breadislove 1y ago
We have extremely processing heavy jobs where user upload large collection of files (PDFs, audios, videos etc.) and expect to get fast processing.
38.
by breadislove 1y ago
Hetzner is really great until you try to scale with them. We started building our service on top of Hetzner and had couple 100s of VMs running and during peak time we had to scale them to over 1000 VMs. And here couple of problems started,
39.
by breadislove 1y ago
yeah but if people would like to double check the results it would be nice to have the actual benchmark. especially given that your playground is broken... "We ran into an error processing your request. Please try again"
40.
by breadislove 1y ago
guys please release the benchmark or the benchmark code. like this is just "trust me bro"
41.
by breadislove 1y ago
I think we are going through the langchain era for agents. the world will look really different in couple month and the stack will be wildly different and more unified.
42.
Fantastic (Small) Retrievers and How to Train Them(mixedbread.com)
2 points by breadislove 1y ago|0 comments
43.
by breadislove 1y ago
Thats actually not correct. Embeddings can handle relationships like “without” or “not.” when trained for it. You need to scale up the training massively to make it generalize it well. The current version of Mixedbread Search supports negat
44.
by breadislove 1y ago
yes, in which one would be interested?
45.
by breadislove 1y ago
there is a lot coming
46.
by breadislove 1y ago
We are right now not including the artist name. Which will be done in the next iteration of the model (next week). Right now the search is only based on what the model can "see". And it seems like that the model does not understan
47.
by breadislove 1y ago
We will add a feedback form tomorrow morning. For now please feel free to write to aamir at domain name of the page. thank you so much! this helps us a lot.
48.
by breadislove 1y ago
Thank you for pointing this out. We will add this tomorrow morning.
49.
by breadislove 1y ago
If you find more such cases please feel free to send them over to aamir at domain name of the Show HN. I would love to see those cases and see how we can improve on them. Thank you so much for the feedback.
50.
by breadislove 1y ago
thank you for reporting these. we will improve on them for the next iteration.
51.
by breadislove 1y ago
We have a lot more things coming up soon. It just took us some time building Mixedbread Search.
52.
by breadislove 1y ago
It is powered by Mixedbread Search which is powered by our model Omni. Omni is multimodal (text, video, audio, images) and multi vector, which helps us to capture more information. The search is in beta and we improving the model. Thank you
53.
Show HN: Semantic search over the National Gallery of Art(nga.demo.mixedbread.com)
145 points by breadislove 1y ago|37 comments
54.
Show HN: Search 4 Cute Cats(cats.mixedbread.com)
2 points by breadislove 1y ago|0 comments
55.
Maxsim-CPU: Maximising Maxsim Efficiency(mixedbread.com)
3 points by breadislove 1y ago|0 comments
56.
by breadislove 1y ago
Looks interesting, but the Mixing Examples section bugs on my iphone. It reloads everytime when I activate Kurt.
57.
The Voices: Generating Face from Voice Using AI(oddmaido.substack.com)
2 points by breadislove 1y ago|0 comments
58.
The Ceiling: How OCR Quality Limits RAG Performance(mixedbread.com)
2 points by breadislove 1y ago|0 comments
59.
by breadislove 1y ago
embeddings and consequently retrieval is probably the most overlooked topic in this whole AI thing. great to see people tinkering with it
60.
by breadislove 1y ago
yes exactly

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