Jan 11, 2025Ravie LakshmananAI Security / Cybersecurity Microsoft has revealed that it’s pursuing legal action against a “foreign-based threat–actor group” […]
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DoJ Indicts Three Russians for Operating Crypto Mixers Used in Cybercrime Laundering
Jan 11, 2025Ravie LakshmananFinancial Crime / Cryptocurrency The U.S. Department of Justice (DoJ) on Friday indicted three Russian nationals for […]
Top 9 Different Types of Retrieval-Augmented Generation (RAGs)
Retrieval-Augmented Generation (RAG) is a machine learning framework that combines the advantages of both retrieval-based and generation-based models. The RAG […]
Google AI Just Released TimesFM-2.0 (JAX and Pytorch) on Hugging Face with a Significant Boost in Accuracy and Maximum Context Length
Time-series forecasting plays a crucial role in various domains, including finance, healthcare, and climate science. However, achieving accurate predictions remains […]
Good Fire AI Open-Sources Sparse Autoencoders (SAEs) for Llama 3.1 8B and Llama 3.3 70B
Large language models (LLMs) like OpenAI’s GPT and Meta’s LLaMA have significantly advanced natural language understanding and text generation. However, […]
I can’t decide if I love or hate this always-listening AI assistant from CES 2025
The Humane AI pin made a big splash around CES 2024, but the resulting disappointment meant that people have taken […]
Meta AI Open-Sources LeanUniverse: A Machine Learning Library for Consistent and Scalable Lean4 Dataset Management
Managing datasets effectively has become a pressing challenge as machine learning (ML) continues to grow in scale and complexity. As […]
Microsoft AI Introduces rStar-Math: A Self-Evolved System 2 Deep Thinking Approach that Significantly Boosts the Math Reasoning Capabilities of Small LLMs
Mathematical problem-solving has long been a benchmark for artificial intelligence (AI). Solving math problems accurately requires not only computational precision […]
Can LLMs Design Good Questions Based on Context? This AI Paper Evaluates Questions Generated by LLMs from Context, Comparing Them to Human-Generated Questions
Large Language Models (LLMs) are used to create questions based on given facts or context, but understanding how good these […]
Content-Adaptive Tokenizer (CAT): An Image Tokenizer that Adapts Token Count based on Image Complexity, Offering Flexible 8x, 16x, or 32x Compression
One of the major hurdles in AI-driven image modeling is the inability to account for the diversity in image content […]