Viewing profile — mahjongmen
mahjongmen
HN member- Joined
- Wed, Sep 20, 2023, 10:59 PM UTC
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- 14
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- 13 items
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About mahjongmen
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Recent public activity
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Comment #43724251
thanks for the kind words - we're always looking for ways to make our documentation more of a delight :)
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Comment #43698661
cool project - I like the read-me but it looks like your link is down: https://djwtmt1np1xe4.cloudfront.net/
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Comment #43698625
Thank you sir! I appreciate you.
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Comment #43698622
That sounds really cool! Would love to better understand your use-case and make sure it works well for you! Drop me an email at elliott@cohere.ai
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Comment #43698618
Hey Andriy! We actually did internally run benchmarks against your models since they are open-weights - however, when looking at the license on the 3bn multimodal model ( https://h…
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Comment #43697653
Hey Luke, Our model does exceptionally well on text and images, and in particular, when text and images are mixed together. An example of where this works well would be in E-commer…
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Comment #43697646
Hey Serjester Email me at elliott@cohere.ai, let's arrange time to chat. We did head to head evals with Voyage Large / Voyage Multimodal and I can share them with you if you are se…
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Comment #43697639
Hey All, Thanks for engaging! Apologies for the delay but HN seems to have throttled my account from posting so I'm answering as fast as I can (or they will let me). You're right i…
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Comment #43696028
I'll start off with, I'm not one of our founders and REALLY wouldn't want to be publicly held accountable for policies or commitments until I've been able to get internal alignment…
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Comment #43695974
Hey Cahaya, While we benchmarked internally, on BEIR, we opted not to report our model onto MTEB for the following reason: 1) MTEB has been gamed - if you look at this model ( http…
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Comment #43695933
Which benchmark are you referring to? Voyage-3-large is a text-only and much larger model than Embed-v4. If you want to unlock multimodality with Voyage-3-large, you'd have to eith…
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Comment #43695901
Hey! Since we focus on Enterprise use-cases, we made sure to include training data from domains like you mentioned above. While in very specific use-cases finetuning may be helpful…
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Comment #43695875
Hey Simon, Elliott here from Cohere. We benchmarked against Nomic's models on our consortium of datasets ranging from text-only, image-only, and mixed modalities. Without publishin…