Learn #Python by Doing — “Let Us Python” book with exercises: https://
bpbonline.com/products/let-u
s-python-6th-edition?variant=42896763125960
…
+
The Solutions book: https://
bpbonline.com/products/let-u
s-python-solutions-6th-edition?variant=42896795533512
…
(6th editions from @bpbonline
)
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#Coding #Programming #DataScientist #DataScience #BigData #Analytics #AI #MachineLearning #ComputationalScience
RESEARCH
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Learn Python Programming with Let Us Python Book Exercises
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Ungrounded Mental Representations: Texture Accuracy vs Semantic Coherence
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I suspect that our ungrounded (eg dreaming) mental representations have less accuracy and detail on the level of textures and geometry, and more coherence in the structure of scene and general semantics.
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Levels of Lucidity: Building on Kegan’s Framework
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I did not read Wilber, I started from Kegan and rebuilt the idea to accommodate my observations. Here is a summary https://
joscha.substack.com/p/levels-of-lu
cidity
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Panpsychism vs Physicalism: Mental States as Control Representations
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Panpsychists tend to hold that consciousness cannot be reduced (explained) and is therefore an intrinsic part of matter (eg electrons have mental states). My position is compatible with physicalism and maintains that mental states are representations created by control processes.
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Long Context AI Capabilities Outperforming Gemini on Complex Questions
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The long context is blowing my mind! I’m spending my morning answering community prompts right now if anyone has any. A lot of great questions here that Gemini was unable to answer, too
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Large World Models: Open-Source AI with 1M Context Window
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Large world models by @haoliuhl et al. is worth checking out if you like the Gemini-1.5 and Sora results. It has 1M context window, generates videos, and is open sourced.
— Jiquan Ngiam (@JiquanNgiam) 19 février 2024
1. LWM shows high recall over 1M context window, and performs exceptionally well with video chat as well.… pic.twitter.com/1kGLIHjD4LLarge world models by @haoliuhl et al. is worth checking out if you like the Gemini-1.5 and Sora results. It has 1M context window, generates videos, and is open sourced. 1. LWM shows high recall over 1M context window, and performs exceptionally well with video chat as well.
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RingAttention Communication Overlaps Computation on Google TPU
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"… the communication cost during RingAttention fully overlaps with computation …" Google TPU's fast interconnects are definitely working out well here.
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Exploring AGI: Moving Beyond Scale in Rapidly Evolving AI
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Thanks @BetaMoroney With #AI rapidly evolving, beyond the imagination of many, it is time to explore what it takes to go beyond #scale and to achieve #AGI @mvollmer1 @Nicochan33 @alvinfoo @PawlowskiMario @HaroldSinnott @Hana_ElSayyed @KirkDBorne
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PaLM2-VAdapter: Progressive Language Model Vision Adapter
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PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter Xiao et al.: https://
arxiv.org/abs/2402.10896 #ArtificialIntelligence #DeepLearning #MachineLearning