mikejulietbravo

5 ms·

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by mikejulietbravo 4mo ago
came to say this, there's almost zero history for this so unless their supply chain got meaningfully distorted I can't see why this would happen now
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by mikejulietbravo 4mo ago
text editors 5ever
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How to get GLM 5.2 to 280 tokens per second(baseten.co)
3 points by mikejulietbravo 4mo ago|1 comments
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by mikejulietbravo 4mo ago
as benchmarked on AA
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by mikejulietbravo 5mo ago
The short answer is that it depends how well you define the boundaries of the task and the relative complexity. For example, smaller model is usually fine for something like summarization, but an "easier" coding task might still a
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by mikejulietbravo 6mo ago
how many mentions of silicon valley?
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by mikejulietbravo 9mo ago
seems like more than invested in other inference players
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by mikejulietbravo 1y ago
nuances like idioms can and will be solved. wispr flow is already solving a lot of these things via their speech-to-text interface. as better models are introduced, figurative language, implication, cultural nuancec etc. becomes easier to r
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by mikejulietbravo 1y ago
does the plugin architecture come with added overhead (assuming you add a lot of elements)?
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by mikejulietbravo 1y ago
was just glad this wasn't about twitter :)
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by mikejulietbravo 2y ago
Awesome - we'd love to have our CEO/CTO chat with you and your team if you're interested. Shoot me a note at mike.bilodeau @ baseten.co and I'll make it happen!
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by mikejulietbravo 2y ago
Mike from Baseten here We're super proud to support this work. If you're thinking of running deepseek in production, give us a shout!
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by mikejulietbravo 2y ago
The start of this reads like the beginning of a cult manifesto, but then transitions to a very logical solution for an important problem. Baffling. I'm in
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by mikejulietbravo 2y ago
What's the tl;dr on a difference from this to SD?
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Show HN: Automatically Build Nvidia TRT-LLM Engines(baseten.co)
2 points by mikejulietbravo 2y ago|0 comments
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Show HN: 60% higher tokens per second for 70B custom LLMs(baseten.co)
1 points by mikejulietbravo 2y ago|0 comments
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by mikejulietbravo 2y ago
This is such a wild undertaking. I love it
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by mikejulietbravo 2y ago
This is the biggest point. You can simply not use them. Cook your own food or walk or drive or bike to a restaurant. There is a massive market of lazy AF people who also are terrible at personal financial management, and they are the ones c
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by mikejulietbravo 2y ago
Taxes are not the answer, let the free market figure it out
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by mikejulietbravo 2y ago
I'm kind of surprised they haven't already built this into the LD core
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by mikejulietbravo 2y ago
I remember reading that post, there were a lot of good ideas in the comments
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by mikejulietbravo 2y ago
The new docs are great. Awesome work there
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Show HN: Baseten Chains – Framework and SDK for Multi-Model AI Products(baseten.co)
9 points by mikejulietbravo 2y ago|5 comments
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by mikejulietbravo 2y ago
Odd, this looks like it was posted 6 months ago but is back?
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by mikejulietbravo 3y ago
not a criticism here, just a genuine question. What about this makes it friendly for ADHD? Is it a formatting/style thing? Information ordering?
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by mikejulietbravo 3y ago
This was a huge problem when I was working on a similar product some years ago. The issue is that false positives or worse, false negatives, can be pretty catastrophic when you're thinking about valuing companies in particular. What&#x
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by mikejulietbravo 3y ago
This sounds a lot like what Grata does, although they've built a pretty impressive proprietary dataset
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by mikejulietbravo 3y ago
I was surprised to see this wasn't already on HN given Sarah Guo is attached and the Truss project seems pretty cool
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Open Source Inference Engine Baseten Raises $40M from IVP, Spark and Greylock(baseten.co)
2 points by mikejulietbravo 3y ago|1 comments
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by mikejulietbravo 3y ago
One of the problems I have with the analogy being made here is that most open-source projects were created because someone needed to solve a problem or do something to build something else. The other thing is that in software, more than any

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