Vladimir Dyachkov PhD

Optimizing Assembly Code with Large Language Models (LLMs) Introduction As the demand for efficient programming techniques grows, the optimization of assembly code has emerged as a key area of focus. Traditional compilers have long been the go-to solution for this task. However, recent innovations in artificial intelligence, particularly through the use of Large Language Models […] ➡️➡️➡️

Advanced Multi-Agent Workflows with Microsoft AutoGen A Comprehensive Guide to Advanced Multi-Agent Workflows with Microsoft AutoGen Introduction This guide explores how Microsoft’s AutoGen framework enables developers to create sophisticated multi-agent workflows with ease. By utilizing AutoGen’s features, you can integrate various specialized assistants, such as Researchers, FactCheckers, Critics, Summarizers, and Editors, into a unified tool […] ➡️➡️➡️

Enhancing Business Efficiency with Group Think: A New Approach to AI Collaboration Introduction to Group Think In the rapidly evolving field of artificial intelligence, the ability for large language models (LLMs) to work together is gaining significant attention. The concept of Group Think introduces a multi-agent reasoning paradigm that allows these models to collaborate effectively, […] ➡️➡️➡️

Evaluating Enterprise-Grade AI Assistants Evaluating Enterprise-Grade AI Assistants: A Benchmark for Complex, Voice-Driven Workflows Introduction As businesses increasingly adopt AI assistants, it’s crucial to evaluate their effectiveness in real-world tasks, particularly through voice interactions. Traditional evaluation methods often overlook the complexities of specialized workflows, highlighting the need for a more comprehensive framework that accurately assesses […] ➡️➡️➡️

Thinkless: Enhancing Language Model Efficiency Introducing Thinkless: A New Framework for Language Models Researchers at the National University of Singapore have developed a groundbreaking framework called Thinkless. This innovative solution focuses on improving the efficiency of language models by reducing unnecessary reasoning by as much as 90%. Current language models often engage in complex reasoning […] ➡️➡️➡️

MMLONGBENCH: A New Benchmark for Long-Context Vision-Language Models MMLONGBENCH: A New Benchmark for Long-Context Vision-Language Models Understanding Long-Context Vision-Language Models Recent advancements in long-context modeling have greatly improved the performance of large language models (LLMs) and large vision-language models (LVLMs). These long-context vision-language models (LCVLMs) can now process extensive amounts of data, including hundreds of […] ➡️➡️➡️

Microsoft AI’s Magentic-UI: A Collaborative Approach to AI Agents Microsoft AI’s Magentic-UI: A Collaborative Approach to AI Agents Introduction The modern web has transformed how we interact with digital platforms. Activities such as filling out forms, managing accounts, and navigating dashboards often require repetitive manual input. While AI has emerged to automate some of these […] ➡️➡️➡️

Enhancing Reasoning in AI Models for Business Applications Enhancing Reasoning in AI Models for Business Applications Understanding Large Reasoning Models Large Reasoning Models (LRMs), such as OpenAI’s o1 and o3, DeepSeek-R1, Grok 3.5, and Gemini 2.5 Pro, showcase impressive capabilities in complex reasoning tasks. These models often exhibit behaviors like self-correction and backtracking, which can […] ➡️➡️➡️

Anthropic’s Claude Opus 4 and Claude Sonnet 4: Advancements in AI for Business Introduction to Claude Models Anthropic has launched its latest language models, Claude Opus 4 and Claude Sonnet 4. These models represent a significant step forward in artificial intelligence, particularly in areas like reasoning, coding, and the design of autonomous agents. Businesses can […] ➡️➡️➡️

Transforming Business with Falcon-H1: A New Era in Language Models Overview of Falcon-H1 The Technology Innovation Institute (TII) has launched the Falcon-H1 series, representing a significant advancement in language model technology. These models combine the strengths of Transformer networks and Structured State Space Models (SSMs) to create a hybrid architecture that enhances efficiency and performance […] ➡️➡️➡️

Enhancing Mathematical Problem Solving through AI-Driven Solutions Multimodal mathematical reasoning is a significant advancement in artificial intelligence, allowing machines to interpret and solve problems that combine textual and visual elements. This capability is particularly valuable in education, automated tutoring, and document analysis, where data is often presented through text and images. Challenges in Multimodal Reasoning […] ➡️➡️➡️

Google DeepMind Unveils Gemma 3n: A Breakthrough in Mobile AI Introduction to Gemma 3n As the demand for faster, more intelligent, and privacy-focused AI on mobile devices increases, Google DeepMind has introduced Gemma 3n. This new multimodal AI model is designed for real-time use on devices, aiming to enhance user experience through improved responsiveness and […] ➡️➡️➡️

RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication Introduction to Matrix Multiplication Matrix multiplication is a fundamental operation in computer science and numerical linear algebra. Over the years, researchers have developed various algorithms to enhance the efficiency of this process. Notable contributions date […] ➡️➡️➡️

From Protocol to Production: Enabling Secure AI Integrations in Business The Model Context Protocol (MCP) is a crucial framework for integrating artificial intelligence (AI) models into various software environments. Created by Anthropic, MCP simplifies the way AI models interact with external services, such as APIs and databases, by offering a standardized method for invoking these […] ➡️➡️➡️

Building Modular AI Workflows with Anthropic’s Claude and LangGraph This guide offers a straightforward approach to implementing LangGraph, a user-friendly framework for creating AI workflows integrated with Anthropic’s Claude API. By following this tutorial, developers will learn how to construct and visualize workflows that perform various tasks, such as generating answers, analyzing responses, and composing […] ➡️➡️➡️

Marktechpost Releases 2025 Agentic AI and AI Agents Report: A Technical Overview Marktechpost AI Media has launched the 2025 Agentic AI and AI Agents Report, providing an in-depth look into the frameworks, architectures, and strategies driving the development of AI agents. This report offers valuable insights into the growing landscape of agentic AI, which encompasses […] ➡️➡️➡️

Introducing PARSCALE: A New Approach to Efficient Language Model Deployment The need for advanced language models has driven researchers to explore ways to enhance their performance. Traditionally, this has involved increasing the size of the models or expanding computational resources, which often leads to challenges related to resource consumption and deployment efficiency. The Challenges of […] ➡️➡️➡️

Transforming AI Judgment with J1 Framework Transforming AI Judgment with J1 Framework Introduction to J1 Recent advancements in artificial intelligence have led to the development of large language models (LLMs) that can perform evaluation and judgment tasks. This evolution has introduced the concept of “LLM-as-a-Judge,” where AI models assess the outputs of other language models. […] ➡️➡️➡️