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Omni-modal large language models (LLMs) are at the forefront of artificial intelligence research, seeking to unify multiple data modalities such as vision, language, and speech. The primary goal is to enhance the interactive capabilities of these models, allowing them to perceive, understand, and generate outputs across diverse inputs, just as a human would. These advancements… Read more

We tested some of the most popular automatic dry and wet food pet feeders to see which ones are worth the money. Read more

Perfctl malware is hard to detect, persists after reboots, and can perform a breadth of malicious activities. Read more

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The AI research organization Zyphra has recently unveiled two groundbreaking language models, Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct. These models are part of the Zamba2 series and are significant advancements in natural language processing and AI-based instruction. Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct are designed to deliver enhanced multi-turn chat capabilities and exceptional instruction-following abilities, providing cutting-edge solutions for various applications… Read more

Sony’s discreet new surround sound system offers incredible immersion for an incredible fee. Read more

Extracting structured data from unstructured sources like PDFs, webpages, and e-books is a significant challenge. Unstructured data is common in many fields, and manually extracting relevant details can be time-consuming, prone to errors, and inefficient, especially when dealing with large amounts of data. As unstructured data continues to grow exponentially, traditional manual extraction methods have… Read more

A new report estimates that 40 percent of all cancer cases are associated with factors we can change—alcohol consumption being a prominent one. Read more

Plus: Harvard students pack Meta’s smart glasses with privacy-invading face-recognition tech, Microsoft and the DOJ seize Russian hackers’ domains, and more. Read more

Large Language Models (LLMs) have become integral to numerous AI systems, showcasing remarkable capabilities in various applications. However, as the demand for processing long-context inputs grows, researchers face significant challenges in optimizing LLM performance. The ability to handle extensive input sequences is crucial for enhancing AI agents’ functionality and improving retrieval augmented generation techniques. While… Read more