Based on our record, Medium seems to be more popular. It has been mentiond 2231 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Binarized on the fly during the forward pass and never used for the inference process. In this case there are two areas to optimize for: training efficiency and inference efficiency. If I understand correctly, it stores the weights, gradients and second-moment estimates in FP32 like every other mixed-precision training (the Gopher paper has details on why storing them in FP32 is important), and quantized weights... - Source: Hacker News / 1 day ago
Related: https://medium.com/@maciej.pocwierz/how-an-empty-s3-bucket-can-make-your-aws-bill-explode-934a383cb8b1. - Source: Hacker News / 1 day ago
I was thinking of that a few weeks ago and wrote a (dumb) little story about it; I imagined Astro (SF mascot) is a ruthless mob boss controlling it all behind the scenes lol https://medium.com/@dannyisaphantom/benioff-astro-and-the-art-of-the-deal-692149f5dd36. - Source: Hacker News / 2 days ago
Thanks for sharing, I like the approach and it makes a lot of sense for the problem space. Especially using existing products vs building/hosting your own. I was however tripped up by this sentence close to the beginning: > we encountered a significant challenge with RAG: relying solely on vector search (even using both dense and sparse vectors) doesn’t always deliver satisfactory results for certain queries. Not... - Source: Hacker News / 2 days ago
This is a better one: https://medium.com/@lordmoma/so-you-think-you-know-git-673f9c4b0792. - Source: Hacker News / 6 days ago
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