The critical issue of restricted access to high-quality reasoning datasets has limited open-source AI-driven logical and mathematical reasoning advancements. While proprietary models have leveraged structured reasoning demonstrations to enhance performance, these datasets and methodologies remain closed, restricting independent research and innovation. The lack of open, scalable reasoning datasets has created a bottleneck for AI development.… →
Tokenization plays a fundamental role in the performance and scalability of Large Language Models (LLMs). Despite being a critical component, its influence on model training and efficiency remains underexplored. While larger vocabularies can compress sequences and reduce computational costs, existing approaches tie input and output vocabularies together, creating trade-offs where scaling benefits larger models but… →
Yandex, a global tech company, develops and open-sources Perforator, an innovative tool for continuous real-time monitoring and analysis of servers and applications. Perforator helps developers identify the most resource-intensive sections of code and provides detailed statistics for subsequent optimization. By identifying code inefficiencies and supporting profile-guided optimization, Perforator delivers accurate data that enables businesses to… →
BACKGROUND: People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medicine. There is a need to improve the diagnostic process, and healthcare delivery and… →
CONCLUSIONS: In individuals with intermediate coronary stenosis, elevated angio-IMR is linked to an adverse prognosis. Using angio-IMR significantly enhanced the capability to reclassify patients and accurately estimate the risk for the POCO. →
On January 27, 2025, the global AI landscape shifted dramatically with the launch of DeepSeek, a Chinese AI startup that has rapidly emerged as a disruptive force in the industry. Unlike its Western counterparts, DeepSeek has achieved exceptional AI performance with significantly lower costs and computational resources, challenging giants like OpenAI, Google, and Meta. But… →
Post-training quantization (PTQ) focuses on reducing the size and improving the speed of large language models (LLMs) to make them more practical for real-world use. Such models require large data volumes, but strongly skewed and highly heterogeneous data distribution during quantization presents considerable difficulties. This would inevitably expand the quantization range, making it, in most… →
Significant progress has been made in short-form instrumental compositions in AI and music generation. However, creating full songs with lyrics, vocals, and instrumental accompaniment is still challenging for existing models. Generating a full-length song from lyrics poses several challenges. The music is long, requiring AI models to maintain consistency and coherence over several minutes. The… →
What is an Agent? An agent is a Large Language Model (LLM)-powered system that can decide its own workflow. Unlike traditional chatbots, which operate on a fixed path (ask → answer), agents are capable of: Choosing between different actions based on context. Using external tools such as web search, databases, or APIs. Looping between steps… →