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 details. Although graphs have high utility, they have been criticized for intricate text-based queries and manual exploration, which obstruct the extraction of pertinent information. With the massive…
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…
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…
Vision-Language Models (VLMs) have significantly expanded AI’s ability to process multimodal information, yet they face persistent challenges. Proprietary models such as GPT-4V and Gemini-1.5-Pro achieve remarkable performance but lack transparency, limiting their adaptability. Open-source alternatives often struggle to match these models due to constraints in data diversity, training methodologies, and computational resources. Additionally, limited documentation…
Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact with environments to learn optimal behaviors. Traditional RL methods fall into two categories: model-free and model-based approaches. Model-free techniques prioritize simplicity but require extensive training data, while model-based methods introduce…
Large Language Models (LLMs) have emerged as transformative tools in research and industry, with their performance directly correlating to model size. However, training these massive models presents significant challenges, related to computational resources, time, and cost. The training process for state-of-the-art models like Llama 3 405B requires extensive hardware infrastructure, utilizing up to 16,000 H100…