Why Your SSD (Probably) Sucks and What Your Database Can Do About It https://
bit.ly/45Wvrlx
#AI #MachineLearning #DeepLearning #LLMs #DataScience
COMPUTING
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SSD Performance and Database Optimization for AI Systems
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LazyLLM Dynamic Token Pruning Accelerates LLM Inference by 2.34x
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5/ LazyLLM – introduces a novel dynamic token pruning method for efficient long-context LLM inference; it can accelerate the prefilling stage of a Llama 2 7B model by 2.34x and maintain high accuracy; it selectively computes the KV for tokens that are important for the next token
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MathWorks Unlimited Possibilities Partnership Opportunity
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You + MathWorks = Unlimited Possibilities. Learn more https://
spr.ly/60129aukA -
Private Cellular Networks Transform Industrial IoT Environments
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From remote sites to complex facilities, private cellular networks excel in challenging wireless environments. Explore their capabilities: https://
buff.ly/3z8ns8w #IndustrialIoT #WirelessNetworks #DigitalTransformation -
Unity Catalog Explorer Updates Accelerate Data Discovery
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We recently introduced 5 new updates to the Catalog Explorer to accelerate data discovery in #UnityCatalog! Includes enhanced Quick Access, streamlined navigation, and new Entity Relationship Diagrams to simplify your data exploration journey. https://
bit.ly/3zkgDAP -
Writing Stream Processors: Avoiding the Duck Syndrome
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So You Want to Write a Stream Processor? Beware of the Duck Syndrome. https://
bit.ly/4bCdgTl
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
MIT CS Class Teaches Essential Shell Tools and Version Control
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This MIT CS class teaches you things that all the other classes don't teach you, like… Shell tools and scripting Vim Data wrangling Command-line environment Version control Watch all 11 lectures for free here: http://
bit.ly/MissSemester -
Tetris Computational Complexity: Understanding NP-Hard Problem
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Tetris is NP-Hard – http://
koaning.io https://
bit.ly/3XSJNkQ
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Interactive LLM Decoding Strategies and Sampling Effects
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Interactive LLM decoding strategies LLM sampling is a cool app that shows the effect of temperature, top K sampling, top P sampling, etc. on the probability distribution outputted by an LLM. LLM sampling: https://
artefact2.github.io/llm-sampling/i
ndex.xhtml
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Meghan presents MSR’s Aurora AI4Science atmospheric model
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Meghan giving an absolutely excellent talk on Aurora (MSR’s AI4Science atmospheric model)