Please enjoy my interview with Pure Storage CEO Charlie Giancarlo. Pure Storage CEO: The software story evolves For data storage vendor Pure Storage, a steady stream of new software features is pushing a stodgy corner of IT ever deeper into the software-as-a-service realm.
DATA
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Random Forests for Reliable Feature Importance Measurement
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Random forests are pretty much impossible to mess up. That's important for measuring feature importance, because you want your measurements to be reliable.
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Scaling and Governing AI Initiatives with ModelOps
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New on the Blog: Scaling and Governing AI Initiatives with ModelOps Stay ahead in the ever-evolving world of Digital Transformation. This article explores key insights into emerging technologies and their impact on today's business landscape. Discover how to leverage
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AI Transforms Market Data into Strategic Business Insights
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From data to insight: how AI turns market noise into strategic action https://
linkedin.com/pulse/from-dat
a-insight-how-ai-turns-market-noise-strategic-nicolas-babin-weqpe
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#ArtificialIntelligence #data #insight #Innovation #technology @BetaMoroney @AnthonyRochand @CurieuxExplorer @Shi4Tech @smaksked @enilev @IanLJones98 @LaurentAlaus @mvollmer1 -
KV Cache Memory Overhead in Large Language Models Explained
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1000 tokens of text compressed at 1.2 bits/char and 4 chars/token ≈ 600 bytes 1000 tokens of kvcache in LLAMA 70B in fp16 takes up 8192 dim x 80 layers x 2 x 16 bit ≈ 2.6 GB so the kv cache is 2.6 GB / 600 bytes = 4.4 million times larger than the input make this make sense
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Five Critical Cloud Computing Mistakes to Avoid
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The 5 Cloud Computing Mistakes You Must Avoid This Year Cloud computing is essential — but pitfalls abound. Avoid these five mistakes to keep your strategy scalable, secure, and future-ready. Read more https://
bernardmarr.com/the-5-cloud-co
mputing-mistakes-you-must-avoid-this-year/
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Digital Twins Support Urban Governance Through Real-Time Data Feedback
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Digital twins for cities show how tech doesn’t replace human governance but supports it, creating a continuous feedback loop where data flows into real-time decisions that reshape how leaders manage urban life & future strategies. Microblog @antgrasso #SmartCities #DigitalTwins
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Logistic Regression Matches Frontier Models for Japanese Financial Fraud Detection
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Our finding is that Logistic Regression is still a very strong baseline for detecting fraudulent Japanese financial statements, matching frontier models like Claude3.7, R1, o4-mini. Room for future improvement! GitHub: https://
github.com/SakanaAI/EDINE
T-Bench
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HuggingFace: https://
huggingface.co/datasets/Sakan
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EDINET-Bench: Evaluating LLMs on Japanese Financial Tasks
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EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements Paper: https://
pub.sakana.ai/edinet-bench/ We released a Japanese financial benchmark on @Huggingface
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RewardBench 2: New Multi-Skill Reward Model Evaluation Benchmark
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9. RewardBench 2 RewardBench 2 is a new multi-skill benchmark for evaluating reward models with more challenging human prompts and stronger correlation to downstream performance.