Bookmark our #DataOps guide from @Databand_ai to understand the core principles of DataOps, roles and responsibilities, as well measurement of ROI: https://
ibm.co/3I9JYQv
AI
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DataOps Guide: Core Principles, Roles, and ROI Measurement
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Coders Using AI as 10x Stack Overflow with RLHF
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ok I will now admit that coders are using it everyday as 10x stackoverflow good thing they did all that coding RLHF!
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Airbyte Integration Discussion for Files and APIs Connectors
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pinging @sheriffnothing to speak with @hwchase17 – Harrison is interested in exploring using Airbyte (probably for Files and APIs connectors)
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Live Stream AI4Science Workshop at Caltech
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Livestreaming AI4Science workshop at @caltech https://
youtube.com/watch?v=WD3h06
CWK7g
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Automation enables focus on priority tasks and important matters
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Absolutely. It helps to focus on things that require attention by automating pretty general stuff
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Timnit Gebru Keynote at SATML Conference
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This is bound to be interesting. Keynote talk by @timnitGebru starting now at @satml_conf
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Non-Turing Computation in Living Systems: Long-term Research
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Love this paper; augmenting computation with non-Turing processes; something that most likely occurs in all living systems. This is long term research; don't think about it in terms of immediate applications; it is exploring wild new spaces. @denizzokt
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Predicting Large Model Performance Across Unseen Tasks
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(3 cont.) Can you predict the performance of one model from another?
Can you predict the performance of a 128B model on an unseen task, given models up to some smaller threshold size and some performances of 128B models on other tasks? -
Hope for Better Open-Source Large Language Models
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Finally, with models like OPT and BLOOM at 175B params, I'm hopeful that better open-source models will be soon be trained, given the pace of innovation in the space.