cackerman21
@cackerman21
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🏔️⛷️🎸 Encryption, Data Science, Linux, OSINT, RedTeam, SysAdmin, Energy, view not my own-ish, sui ipsius doctrine
Boston, MA
Joined February 2021
MCPVerse: An Expansive, Real-World Benchmark for Agentic Tool Use https://t.co/2D5P0ajoI0
#LLM
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Apple trained a large language model to efficiently understand long-form video https://t.co/naai4HiORv
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Estimating the historical impact of outbreak response immunisation programmes across 210 outbreaks in low and middle-income countries https://t.co/nl7tiEk4RH
https://t.co/wRV9BGdOiy
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Using ai (wav2vec) to revived a dying language https://t.co/YWpCozX8Ce
https://t.co/wOJQI99sCO
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Looming Commercial Real Estate (CRE) Exposure Debt Crisis 2025-27 - Maturity Wall Dime Bank: CRE exposure equal to 602% of its equity Eagle: 571% OZK: 566% Live Oak: 550% Merchants: 539% Flagstar: 539% ServisFirst: 538% First Foundation: 513% Provident: 488% First United: 478%
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Poster: Leveraging Large Language Models for Detecting OS-level Ransomware https://t.co/Aqq4wFjXHS
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Table meets LLM: Can Large Language Models Understand Empirical Study Structured Table Data? A Benchmark and Empirical Study https://t.co/bzjjbCorg3
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Replication for Language Models Problems, Principles, and Best Practices for Political Science https://t.co/T0ekU9sSTx
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Red Hat AI Inference Server 3.0 LLM Compressor Compressing large language models with the LLM Compressor library https://t.co/xOTprGChoC
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Balancing Innovation and Rigor: Guidance for the Thoughtful Integration of Artificial Intelligence for Evaluation https://t.co/XPx5CQcY3f
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Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications https://t.co/HLO8Wjc9Ce
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HealthBench: Evaluating Large Language Models Towards Improved Human Health https://t.co/tRAUf78m3a
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