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jn2clark

HN member
Joined
Thu, Oct 27, 2016, 4:35 PM UTC
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56
Public activity
43 items

About jn2clark

jesse at celeris dot ai

Recent public activity

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    Comment #43478591

    How does it compare to previous work on learning to learn? I don't see it referenced https://arxiv.org/abs/1606.04474

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    Ask HN: What are the best options for transpiling using LLM's?

    Is it just write the repo(s) to a text file and upload to Claude with some instructions? Specifically, looking to port ML models between frameworks. For example, JAX PyTorch, but c…

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    Comment #40462596

    With binary representations you still get 2^D possible configurations so its entirely possible from a representation perspective. The main issue (I think at least) is around determ…

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    Comment #40462567

    That's a great question. I think regimes like that could offer better trade-offs of memory/latency/retrieval performance, although I don't know what they are right now. It also ass…

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    Comment #40142057

    I would love an LLM agent that could generate small api examples (reliably) from a repo like this for the various different models and ways to use them.

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    Comment #39845252

    What is accuracy in this case? is it meant to be recall or is it some evaluation metric?

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    Comment #39140169

    We (Marqo) are doing a lot on 1 and 2. There is a huge amount to be done on the ML side of vector search and we are investing heavily in it. I think it has not quite sunk in that v…

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    Comment #39034136

    Take a look here https://github.com/marqo-ai/local-image-search-demo . It is based on https://github.com/marqo-ai/marqo . We do a lot of image search applications. Feel free to rea…

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    Comment #38863418

    Can anyone comment on an open source multi-modal LLM that can produce structured outputs based on an image? I have not found a good open source one yet (this included), seems to be…

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    Comment #38848265

    Fair enough, apologies for the confusion!

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    Comment #38847629

    That sounds much longer than it should. I am not sure on your exact use-case but I would encourage you to check out Marqo ( https://github.com/marqo-ai/marqo - disclaimer, I am a c…

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    Comment #38009732

    Try this https://github.com/marqo-ai/marqo which handles all the chunking for you (and is configurable). Also handles chunking of images in an analogous way. This enables highlight…

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    Comment #37771950

    As others have correctly pointed out, to make a vector search or recommendation application requires a lot more than similarity alone. We have seen the HNSW become commoditised and…

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    Comment #37159761

    Thanks for the feedback and questions - really appreciate it.

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    Comment #37159625

    At the moment you would need to do this yourself. It would be possible to have additional preprocessing to accommodate this though. Feel free to add a feature request here https://…

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    Comment #37158972

    Regarding metric and dimension - it is really problem dependent as is throughput. Recall and latency numbers reported in benchmarks are typically on very well curated and structure…

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    Comment #37158925

    I think it depends a bit on the definition of search here. It might satisfy a literal definition of search but not search as users would expect - which I think is the important poi…

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    Comment #37158785

    Good question! At the moment if you have the abstraction of data -> model -> vector then it is amenable to searching like this. It will depend a bit on the use case though.

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    Show HN: Marqo – Vectorless Vector Search

    Marqo is an end-to-end vector search engine. It contains everything required to integrate vector search into an application in a single API. Here is a code snippet for a minimal ex…

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    Comment #35828072

    In the quest for ultimate speed, I started developing a vector database in assembly using gpt4 as a side project https://github.com/jn2clark/GPT4Memory .