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Exploring the mind-blowing ARCO-ERA5 dataset: hourly data for almost 300 climate variables, available globally from 1940 onwards!🤯 All packaged into a single cloud-friendly Zarr file, and loadable with a single line of Python code - crazy! Below: a month of wind waves + swell:

Dr Robbi Bishop-Taylor 🦋

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60,562 görüntüleme • 2 yıl önce •via X (Twitter)

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ALCHEMIST AI 🔮

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A guy in Vancouver built an entire operating system inside a Chrome tab. By himself. Over six years. His personal website is the OS. You open and a Windows-style desktop loads. File explorer. Start menu. Taskbar. You can drag in a zip and extract it. You can play DOOM. You can play Quake III Arena. You can boot Linux from an ISO. You can run Stable Diffusion locally for image generation. You can open a Python terminal. You can edit code in Monaco, the same engine that powers VS Code. All of it runs in your browser tab. Nothing installs. His name is Dustin Brett. Self-taught engineer. Father. Husband. 4,473 commits. All his. He had to swap the Windows icon for the π symbol because of legal pressure. The repo has 12,883 stars. MIT license. His hosting bill is one dollar a month. A single Cloudflare CDN does the rest. This is what the open web was built for. (Link in the comments)

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Written by Maurice White and Al McKay of Earth, Wind & Fire. The song earned a Grammy for Best R&B Performance by a Duo or Group with Vocals and an American Music Award for Favorite Soul/R&B Single. Billboard later ranked it #1 on their list of the Top 40 Biggest Girl Group Songs of All Time. Fun fact: The vocals span nearly three octaves, from C4 to an astonishing C6 in the outro! Show offs.

Written by Maurice White and Al McKay of Earth, Wind & Fire. The song earned a Grammy for Best R&B Performance by a Duo or Group with Vocals and an American Music Award for Favorite Soul/R&B Single. Billboard later ranked it #1 on their list of the Top 40 Biggest Girl Group Songs of All Time. Fun fact: The vocals span nearly three octaves, from C4 to an astonishing C6 in the outro! Show offs.

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The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd

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