Deep Learning and Computational Physics – Lecture Notes, University of South California Great & concise notes on various fundamental topics in deep learning. The notes got a nice structure. Starts from the very basics, gradually to some DL architectures. https://
arxiv.org/abs/2301.00942
v1
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@jeande_d
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Deep Learning and Computational Physics Lecture Notes from USC
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Top AI Research Papers Published This Week
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Top papers among thousands of papers published in the last week in AI research.
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Google Releases Bard to Compete with ChatGPT
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The race in conversational large language models continues. Google to release Bard, a follow up on ChatGPT! What a time to be alive!! https://
x.com/DrJimFan/statu
/DrJimFan/status/1623013004781428738
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Comprehensive Survey of Continual Learning: Theory, Methods and Applications
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A Comprehensive Survey of Continual Learning(CL): Theory, Method and Application A survey paper on CL, one of the emerging topics in AI. ML has advanced a lot, but given the dynamic nature of the world, ML systems still struggle at adapting to changes. https://
arxiv.org/abs/2302.00487 -
No Course Recordings Available Yet, Stanford MLSys Guest Lectures Planned
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There are no recordings yet. Will keep eye on it in case they release them. (For new iteration of the course, there are guest lectures being hosted in collaboration with Stanford MLSys, https://
mlsys.stanford.edu) -
New Course Iteration: Advance in Foundation Models Released
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(The new iteration of the course, rebranded to Advance in Foundation Models is found here: https://
stanford-cs324.github.io/winter2023/) -
Stanford CS 324 Large Language Models Lecture Notes 2022
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Stanford CS 324 – Large Language Models – Lecture Notes 2022 A handy notes on various topics and techniques related to large language models. Notes are structured really well and there are pointers for recent/landmark papers in LLMs. https://
stanford-cs324.github.io/winter2022/lec
tures/
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Stanford CS 324 Foundation Models Course Partnership
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Those talks are hosted in partnership with Stanford CS 324 – Advances in Foundation Models. More on CS 324 – Advances in Foundation Models: https://
stanford-cs324.github.io/winter2023/ -
Flash Attention and PaLM Talks: Direct Video Pointers
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Here are direct pointers for flash attention and PaLM talks: Flash Attention: https://
youtube.com/watch?v=gMOAud
7hZg4
… PaLM – Pathways Language Model and Model Scaling: https://
youtube.com/watch?v=CV_eBV
wzOaw
… Upcoming talks: https://
mlsys.stanford.edu -
Stanford MLsys Talks on Flash Attention and PaLM
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Stanford MLsys – Talks on Flash Attention and PaLM ML systems talks hosted by Stanford MLsys are always amazing. Stanford MLsys is currently hosting talks around foundational models. Two most notable ones so far are Flash Attention and PaLM(Pathways LM). https://
youtube.com/@StanfordMLSys
Seminars/streams
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