Viewing profile — idiliv
idiliv
HN member- Joined
- Wed, Oct 25, 2017, 5:30 PM UTC
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About idiliv
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Recent public activity
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Comment #48388204
Uber is likely on an enterprise plan - these charge tokens at API cost, which can be much more expensive than the $20 flat rate.
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Comment #46680228
Sometimes model developers coordinate with inference platforms to time releases in sync.
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Comment #43188925
Wait, but we're doing that already, and it works well (Qwen 2.5 VL)? If need be, you can always resort to structured generation to enforce schema conformity?
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Comment #41890412
Duplicate, posted on October 9: https://news.ycombinator.com/item?id=41784591
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Comment #41650115
Where do you see the MMLU-Pro evaluation for Llama 3.2 90B? On the link I only see Llama 3.2 90B evaluated against multimodal benchmarks.
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Comment #41626977
Is the "Ultra Deep" analysis worth it over the standard "Deep" analysis?
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Comment #41523892
In the demo, O1 implements an incorrect version of the "squirrel finder" game? The instructions state that the squirrel icon should spawn after three seconds, yet it spawns immedia…
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Comment #40678642
How are flexible working hours equivalent to more money?
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Comment #40668538
You can rent them online for ~ 4-5 $ per hour per GPU. Not cheap, but definitely feasible as a weekend project.
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Comment #39995200
Just tried this again and I also arrive at 16.92B. Not sure what I did wrong the first time, thanks for double-checking this!
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Comment #39988119
Oh, and to answer your actual question: Assuming that the model is released with 16 bits per parameter, then it as 281GB / 16 bit = 140.5 parameters.
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Comment #39988103
In Mixtral 8x7B, the 8 means that the model uses Mixture-of-Experts (MoE) layers with 8 experts. The 7B means that if you were to remove 7 of the 8 experts in each layer, then you …
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Comment #39446232
Hi Martin! It's Robert from Cambridge (you were my DOS :)). Glad to see your name pop up on HN!
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Comment #39387009
People here seem mostly impressed by the high resolution of these examples. Based on my experience doing research on Stable Diffusion, scaling up the resolution is the conceptually…
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Comment #39070274
Hmm, are you sure that translations of LLMs like ChatGPT are not incorporating cultural context?
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Comment #39017632
I'm curious how they evaluated model quality. The only information I could find is "Quality: Index based on several quality benchmarks".
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Comment #38761482
They could join Mistral AI, which has published weights for at least some of its models. Another option is Meta AI, which has published weights for Llama and Llama 2.
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Comment #38531645
Parent post is talking about LLMs, i.e. Large LMs. Research on LLMs is indeed in its infancy.
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Comment #38488970
When I try out the topics you suggest at the huggingface endpoint you link, the answer is either my question translated into Chinese, or no answer when I prompt the model in Chines…
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Comment #38486127
I've tried out DeepSeek on deepseek.com and it refuses conversations about several topics censored in China (Tiananmen, Xi Jinping as Winnieh-the-Pooh). Has anyone tried if this al…
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Comment #38451613
"Each atomic step would normally take over 5,000 CPU hours on a supercomputer. Now, we can do the same calculation in 2 milliseconds on a desktop," Is this phrase equivalent to "Ea…