if a paper has appendices you should always read them. always 90% of the time, the interesting pieces you’re looking for are there
INNOVATION
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Cerebras Training Infrastructure for AI Model Scale
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In their recent publication, @MadronaVentures mentions, "Companies can use training infrastructure from Cerebras …to train those models at scale", while also listing Cerebras as a provider of AI-specialized silicon. Read their full analysis here: https://
madrona.com/foundation-mod
els/?utm_source=Foundation+Model+Share+Link
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MusicLM: Google’s AI Generates Music From Text and Audio
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MusicLM is wild. Very realistic and versatile, can condition on text, images, and other audio. Coolest feature: hum or whistle a melody, input some text (e.g. "string quartet") and it spits out a string quartet playing that melody! https://
google-research.github.io/seanet/musiclm
/examples/
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David Wajc Wins SODA 2023 Best Paper Award
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Congrats to visiting faculty David Wajc and co-authors of "Dynamic Matching with Better-than-2 Approximation in Polylogarithmic Update Time" for winning the SODA 2023 best paper award (
https://
goo.gle/3iZKbMp). Learn more about the work ↓
https://
goo.gle/3R52goS -
Hugging Face Datasets Converter Transfer Kaggle Zenodo
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This wouldn't have been possible without @_nateraw
's brilliant Hugging Face Datasets Converter Use it to transfer any dataset from Kaggle or Zenodo over to the Hub! -
Dataset Preparation for AI Training in Two Lines Code
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With just 2 lines of code the dataset would be ready for your training workflows!
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AI: Everything to be measured by the cost of energy, including ‘Holy Shit’
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AI will eventually make everything a simple function of the cost of energy: Labor per kilowatt hour
Revenue per kilowatt hour
Creativity per kilowatt hour
Knowledge per kilowatt hour
Entertainment per kilowatt hour Holy Shit per kilowatt hour -
Effective Debugging: Thought and Strategic Print Statements
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“The most effective debugging tool is still careful thought, coupled with judiciously placed print statements.” — Brian Kernighan, co-creator of Unix
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AI Investment Predictions for 2023 and Beyond
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What kinds of investments can we anticipate in the #AI space in 2023 and beyond? See what DataRobot CTO, Michael Schmidt, predicts for the future of AI on @wef . Read more
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LangChain Hub Makes Sharing Agents and Chains Easier
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This should make it easier than ever to share your chains/agents, which we think are much more useful than just prompts! See here for how to upload agents (
https://
github.com/hwchase17/lang
chain-hub/tree/master/agents
…) and here for how to upload chains (
https://
github.com/hwchase17/lang
chain-hub/tree/master/chains
…)