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Source channel @githubtrending · Post #15539 · Mar 5

#python#agent#llm#llm_agent#llm_reasoning#machine_learning_systems#mlsys#reinforcement_learning#rl AReaL is a free, open-source system for fast asynchronous reinforcement learning to train large AI models in math, coding, search, and agents. It decouples generation and training for up to 2.77x speedup, stable performance, and easy setup on single or 1000+ GPUs with algorithms like GRPO/PPO. Install via git/pip, run examples like GSM8K math instantly. You benefit by building top AI agents affordably and quickly, reproducing results with shared data/models, saving time/money vs. slow synchronous tools. https://github.com/inclusionAI/AReaL

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AI & Law

@ai_and_law · Post #212 · 01/12/2024, 08:04 AM

NIST Issues Urgent Report on Escalating Threat of AI Attacks Hello, dear subscribers! The National Institute of Standards and Technology (NIST) has released a critical report titled "Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations," sounding the alarm on the intensifying threat landscape targeting artificial intelligence systems. In the face of increasingly powerful yet vulnerable AI systems, the report outlines the technique of adversarial machine learning, wherein attackers manipulate AI systems through subtle tactics with potentially catastrophic consequences. The document categorizes these attacks based on attackers' goals, capabilities, and knowledge of the target AI system. Concerns include "data poisoning" and "backdoor attacks," exploiting vulnerabilities in AI system development and deployment. #NIST#AIAttacks#AISecurity#ThreatLandscape#MachineLearning**