canyon289

10 ms·

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by canyon289 2y ago
Ive had the same experience as this author, and as a desk nerd. I highly encourage people to find what works for them https://ravinkumar.com/WhyFitness.html#WhyFitness
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by canyon289 2y ago
I also work at Google and on Gemma (so same disclaimers) You can try 27b at www.aistudio,google.com. Send in your favorite prompts, and we hope you like the responses.
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by canyon289 2y ago
Hi, I work on the Gemma team (same as Alek opinions are my own). Essentially instead of tokens that are "already there" in text, the distillation allows us to simulate training data from a larger model
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by canyon289 2y ago
Interesting! A big or small deficit? > If only I could eat and train like a professional athlete... Sometimes I feel the same!
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by canyon289 3y ago
While not a top athlete I have personal experience with this as "desk worker" at SpaceX, Google etc who went from being chubby to being lean You can read (most) of the story here https://ravinkumar.com/WhyFitness.
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Show HN: A Guide Book for LLMs(ravinkumar.com)
1 points by canyon289 3y ago|0 comments
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by canyon289 3y ago
Thank you for asking. I find this stuff super interesting. I write about it on my blog https://ravinkumar.com/ and here's a video for the most common question I get about bayes vs frequentist https://www.you
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by canyon289 3y ago
Of course! Is there's anything in particular you're interested in or a topic you want me to cover let me know. This tech is powerful by itself. Hoping to empower people with knowledge of all this works too :)
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by canyon289 3y ago
Numpyro is fantastic, great syntax and great contributors as well. PyMC now supports jax and numba as well, and can use the numpyro samplers. https://www.pymc.io/projects/examples/en/latest/samplers/
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by canyon289 3y ago
PyMC has a pretty active community where we help people with questions like these. Its hard to come up with one doc as folks have different hardware, datasets, models etc. I hope though you'll the devs and community to be friendly thou
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by canyon289 3y ago
Disclaimer, I wrote a Bayesian Book with Osvaldo published by CRC. You can read it here for free! https://bayesiancomputationbook.com/welcome.html While I'm mostly happy with this book. Yet there's also many impro
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by canyon289 3y ago
For an additional resource I'm writing a guide book, though its in various stages of completion The fine tuning guide is the best resource so far https://ravinkumar.com/GenAiGuidebook/language_models/finetu...
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by canyon289 3y ago
I'm not at Anthropic but have met Jason. He's a good guy, not surprised that that he's here helping folks out
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by canyon289 4y ago
I'm one of the maintainers of PyMC. We just had the v4 version which is better in so many ways. Glad you find the docs useful Here's another example of how hypothesis testing can be used as well. https://bayesiancomputa
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by canyon289 4y ago
I wrote a whole book on this topic! There's lots of applied examples, and entire chapter dedicated to the Bayesian workflow. Happy to answer any questions https://bayesiancomputationbook.com/welcome.html
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by canyon289 4y ago
Can you share the website? This sounds very interesting to me as someone from LA, especially as most other sites are ad filled and annoying
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by canyon289 4y ago
Hackerrank filed a DMCA notice against my blog because of a graph search example I had a written and I had 24 hours to full delete it or my blog would be deleted. As an individual this is so frustrating and if you mission is to support deve
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by canyon289 5y ago
+1 on health as well. I worked at SpaceX earlier in my career. Others wrote about how having just a career for meaning in your life can have downsides and I wholeheartedly agree. Let me tell you that job gave me meaning, novelty everyday, l
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by canyon289 5y ago
Thanks for getting a copy. Hope you enjoy it and learn a lot
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by canyon289 5y ago
Thanks for ordering one. Which company are you with? Perhaps we did bump into each other, asking to see if that is the case
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by canyon289 5y ago
Im one of the Core devs for Arviz and PyMC! Glad you found those resources useful. If any has any questions feel free to ask them in gitter and we'd be happy to help
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by canyon289 5y ago
Thanks for checking it out and the feedback. I appreciate it!
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by canyon289 5y ago
Self plug: After reading this book if you're looking to continue I recently published a book in the same series with the same publisher. The book is available for open access, though I appreciate folks buying a copy too! https:/&
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by canyon289 5y ago
My blog is on this list. It was very surprising waking up on Saturday to learn my entire blog would be deleted for this, and I had 7 hours to fix it. Ended up using a repo cleaner to remove the file and i wasn't even sure it would be u
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by canyon289 5y ago
I'm convinced weightlifting is helpful for knowledge workers, and I say this as an Ex SpaceX engineer and current FAANG Data Scientist who despite having great jobs, has realized that health is as important as a career. I wrote a essay
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by canyon289 5y ago
Should I take this to mean atom is irrelevant these days? Ive been looking into creating an RSS Feed for my blog, but there is Atom option as well so wasn't sure what to pick, and many of the references I found are quite old
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by canyon289 6y ago
I emailed a CCPA request to their info email. Will report back with what I hear.
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by canyon289 8y ago
Sweetgreen | Data Scientist, Data Analyst, Full Stack Developer, IOS developer, React Developer | Los Angeles | Full-Time | ONSITE Sweetgreen is a company that's trying to create healthy communities with locally grown food. The compan
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by canyon289 8y ago
Location: Los Angeles Remote: Yes Willing to relocate: Yes Technologies: Python, SQL, Data Science/ Statistics Résumé/CV: https://www.linkedin.com/in/ravinakumar/ Github: https://github.com&#x
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by canyon289 8y ago
Just wanted to pop in and say I'm also in the job hunting search and cycle between optimism and anxiety. It's a challenging process and I'm struggling with it too. I understand what you're going through

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