Large language models (LLMs) have become indispensable for various natural language processing applications, including machine translation, text summarization, and conversational AI. However, their ...

Developing compact yet high-performing language models remains a significant challenge in artificial intelligence. Large-scale models often require extensive computational resources, making them ...

Developing compact yet high-performing language models remains a significant challenge in artificial intelligence. Large-scale models often require extensive computational resources, making them ...

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 ...

Agentic AI stands at the intersection of autonomy, intelligence, and adaptability, offering solutions that can sense, reason, and act in real or virtual environments with minimal human oversight. At ...

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 ...

Knowledge graphs have been used tremendously in the field of enterprise lately, with their applications realized in multiple data forms from legal persons to registered capital and shareholder’s ...

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 ...

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 ...

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 ...