[248-page book] #Python Workout with 50 ten-minute exercises: http://
amzn.to/3vUkpz2
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#Coding #DataScience #ComputationalScience #MachineLearning #DataScientists #SoftwareDevelopment
COMPUTING
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Python Workout: 50 Ten-Minute Coding Exercises for Data Science
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Databricks DBRX: New Open-Source LLM Standard Outperforming Competitors
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Databricks just announced DBRX, a new standard for open-sourced LLMs.
— Rowan Cheung (@rowancheung) 28 mars 2024
DBRX outperforms Mixtral MoE, Llama-2 70B, and Grok-1 in language understanding, programming, and math.
Most surprising, was the model was reportedly trained in just 2 months with $10M pic.twitter.com/HvyxOx084gDatabricks just announced DBRX, a new standard for open-sourced LLMs. DBRX outperforms Mixtral MoE, Llama-2 70B, and Grok-1 in language understanding, programming, and math. Most surprising, was the model was reportedly trained in just 2 months with $10M
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Internet Activity: What Happens Every Minute Online
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What Happens in an Internet Minute?
via @enricomolinari #AI #ArtificialIntelligence #DataScience #Tech #Technology #Data #Web cc: @bigdata @yvesmulkers @kuriharan -
Cerebras Tackles GenAI’s Massive Compute and Memory Demands
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At MemCon, Cerebras VP of Product Angela Yeung and EY's Global AI Innovation Officer Rodrigo Madanes unpacked GenAI's massive compute and memory demands. Training large AI models currently requires thousands of GPUs in order to store entire models in memory. Cerebras solves
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Token Processing Capacity as New Geopolitical Power in AI
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Request discuss this thesis and implications on tech politics and regulation in DC: In the context of AI and national power, the ability to process tokens is the new oil. The nation with an economy of AI that can process the most tokens has the advantage.
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Token Processing Power: The New Strategic Advantage for Nations
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In the context of AI and national power, the ability to process tokens is the new oil. The nation that can process the most tokens has the advantage.
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Optimizing Vector Loading: Memory-Efficient Brute Force Filtering
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Right, but you don't have to keep them all in memory for those initial brute force calculations – you can load the 100 floating point vectors from disk once you've filtered down to them
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Wittgenstein’s Tractatus and Programming Language Semantics
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Tractatus tries to establish a direct correspondence between symbols and meaning, akin to programming languages, and programming languages explain how meaning is constructed over automata, but later Wittgenstein did not see a path from function execution to linguistic behavior.
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Wittgenstein’s Tractatus and Early Computationalism: Turing’s Influence
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The Tractatus is brilliant, even if it ultimately fails. Wittgenstein's thinking deeply interfaced with early computationalism, he influenced Turing and already understood universality. I am not sure if Tarski could have learned much from Wittgenstein about semantics, though
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Four Steps to Create Great Internet of Things Design
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Embark on a journey of four steps to create a great #InternetofThings design
by @antgrasso #IoT #BigData #MachineLearning #ArtificialIntelligence cc: @bigdata @ravikikan @pbalakrishnarao