If you're a company that uses Keras and you face this use case (large scale adapt() of Keras preprocessing layers), would you consider working with us to implement it? We're a small team and we don't have the resources for this at this time…
INNOVATION
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AGI Token: How AI Agents Generate Economic Value
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This is about $AGI, the AGI Token AGI Agents will likely generate transformative economic value: AGI Nodes X AGI Agents = AGI Token ($AGI) http://
MONTREAL.AI: Winning the #AGI Race #AGI #MontrealAI -
Beam-style computation support designed but not yet implemented
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Correct, the underlying API / infra is designed to potentially allow Beam-style computation. We have not implemented it and it's currently deprioritized (the current adapt() is serial and single-threaded). But we could if there's demand in the future — the design is there.
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TensorFlow Graph Performance Eliminates Python Slowness Issues
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The fact that we're able to do everything as part of the TF graph is really nice — Python slowness is never an issue. There's no need for us to rewrite anything in, like, Cython or Rust.
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Keras Preprocessing Layers: High-Performance In-Graph Implementation
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All the work is done in Keras preprocessing layers, which are implemented in TF ops (everything is 100% in-graph!) so it's highly performant. During training (presumably on GPU/TPU) you'd use async preprocessing in TF data to avoid CPU preprocessing being a bottleneck.
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Top Innovators Share What to Look for in MLOps Jobs
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Planning your next move? Check out what these top innovators say you should look for in your next job. #MLOps
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The Most Consequential $8 Spent in Modern Human History
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The most consequential $8 spent in modern human history
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IBM Unveils More Powerful Quantum Computing Chip
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IBM says it has created a more powerful quantum computing chip, the next step in a yearslong effort. https://
wsj.com/articles/ibm-u
nveils-new-chip-in-push-to-realize-quantum-computings-promise-11667854695?st=qnnii0kzrt2q1jr&reflink=desktopwebshare_twitter
… @IsabelleBiscuit #QuantumComputing #cio @IBMNews @dariogila -
Microsoft 365 Ignite: Workforce Collaboration Across Office Locations
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Microsoft 365 at Ignite—Re-energize your workforce in the office, at home, and everywhere in between https://
microsoft.com/en-us/microsof
t-365/blog/2022/10/12/microsoft-365-at-ignite-re-energize-your-workforce-in-the-office-at-home-and-everywhere-in-between/?utm_source=dlvr.it&utm_medium=twitter
… #Office365 #Cloud #Microsoft #Collaboration #TeamCollaboration #DataIntelligence #Agile #MicrosoftCloud -
T5 and CLIP Embeddings: Superior Combined Performance Analysis
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They ablate the embeddings in the paper and found that T5 and CLIP together are superior to either on their own. Not clear just how much difference it makes on text though… Imagen is bigger than SD, hard to disentangle the size from embedding on text. Good hypothesis though!