Vladimir Dyachkov PhD

Mastering Browser-Driven AI with Google Colab Mastering Browser-Driven AI in Google Colab Understanding Browser-Driven AI This guide will introduce you to an effective method for utilizing a browser-driven AI agent in Google Colab. By leveraging cutting-edge technologies such as Playwright, LangChain, and Google’s Gemini model, you can automate data extraction and streamline complex workflows efficiently. […] ➡️➡️➡️

TurboFNO: Enhancing Efficiency in Fourier Neural Operators TurboFNO: Enhancing Efficiency in Fourier Neural Operators Introduction to Fourier Neural Operators Fourier Neural Operators (FNOs) are advanced models designed to solve partial differential equations. However, existing architectures have limitations that hinder their performance, particularly due to the way they manage computational processes. Typical operations like FFT (Fast […] ➡️➡️➡️

Enhancing Collaborative Reasoning with AI: The Coral Framework Enhancing Collaborative Reasoning with AI: The Coral Framework Introduction Meta AI has launched a groundbreaking AI framework known as Collaborative Reasoner (Coral), aimed at improving collaborative reasoning skills in large language models (LLMs). While LLMs excel in single-agent tasks, their ability to engage in multi-agent reasoning—essential for […] ➡️➡️➡️

Converting a FastAPI App into an MCP Server: A Step-by-Step Guide Converting a FastAPI App into an MCP Server: A Step-by-Step Guide Introduction FastAPI-MCP is a user-friendly tool that allows FastAPI applications to expose their endpoints as Model Context Protocol (MCP) tools effortlessly. This guide will demonstrate how to convert a FastAPI application that retrieves […] ➡️➡️➡️

NVIDIA Introduces CLIMB: A Framework for Optimizing Language Model Pretraining Data Understanding the Challenges in Pretraining Data Selection As large language models (LLMs) continue to grow in complexity and capability, selecting the right pretraining data becomes crucial for achieving optimal performance. Many LLMs rely on extensive datasets like Common Crawl, which, while comprehensive, often lack […] ➡️➡️➡️

AI Integration Playbook for Enterprises OpenAI’s Technical Playbook for Enterprise AI Integration OpenAI has released a comprehensive technical playbook that provides insights into how top companies have successfully integrated artificial intelligence (AI) into their operations. This guide is based on collaborations with organizations such as Morgan Stanley, Indeed, Klarna, Lowe’s, BBVA, and Mercado Libre. It […] ➡️➡️➡️

Enhancing Mathematical Reasoning in AI Unlocking Mathematical Reasoning in AI Models Introduction Recent advancements in large language models (LLMs) indicate that they can effectively tackle challenging mathematical problems with minimal data. Researchers from UC Berkeley and the Allen Institute for AI have developed a fine-tuning strategy that enhances these models’ capabilities across varying levels of […] ➡️➡️➡️

ReZero: Enhancing LLMs with Reinforcement Learning ReZero: Enhancing Large Language Models with Reinforcement Learning Introduction to Retrieval-Augmented Generation (RAG) The field of Large Language Models (LLMs) has advanced significantly, particularly with the introduction of Retrieval-Augmented Generation (RAG). This innovative approach allows LLMs to access real-time information from databases and search engines, enhancing their ability to […] ➡️➡️➡️

Meta AI’s Perception Language Model: A Business Perspective Meta AI’s Perception Language Model: A Business Perspective Introduction to the Perception Language Model (PLM) Meta AI has recently launched the Perception Language Model (PLM), an innovative and open framework for vision-language modeling. This model aims to overcome the challenges posed by proprietary datasets that hinder transparency […] ➡️➡️➡️

Firecrawl Playground: A Practical Guide for Business Data Extraction Firecrawl Playground: A Practical Guide for Business Data Extraction Introduction Web scraping and data extraction are essential for converting unstructured web content into actionable insights. Firecrawl Playground simplifies this process with an intuitive interface, allowing developers and data practitioners to explore and preview API responses through […] ➡️➡️➡️

Meta AI’s Perception Encoder: A Business Perspective Meta AI’s Perception Encoder: A Business Perspective The Challenge of General-Purpose Vision Encoders As artificial intelligence (AI) systems evolve, the demand for sophisticated visual perception models has increased. These models are not only required to identify objects and scenes but also to perform various tasks such as captioning, […] ➡️➡️➡️

IBM Unveils Granite 3.3 8B: A Breakthrough in Speech-to-Text Technology As artificial intelligence becomes increasingly integrated into business operations, the need for versatile, efficient, and transparent models is more critical than ever. Traditional solutions often fall short in meeting these demands. Open-source models may lack the specificity required for certain industries, while proprietary systems can […] ➡️➡️➡️

OpenAI’s Guide to Building LLM Agents for Business Applications OpenAI’s Guide to Building LLM Agents for Business Applications Introduction OpenAI has released a comprehensive guide titled A Practical Guide to Building Agents, aimed at engineering and product teams interested in implementing autonomous AI systems. This guide draws on real-world examples to provide a structured approach […] ➡️➡️➡️

Google Introduces Gemini 2.5 Flash: Business Solutions Google Introduces Gemini 2.5 Flash Google has unveiled Gemini 2.5 Flash, an advanced AI model now available for early preview through the Gemini API in Google AI Studio and Vertex AI. This new model enhances reasoning capabilities while maintaining a focus on speed and cost-effectiveness, building on the […] ➡️➡️➡️

Building a Modular LLM Evaluation Pipeline Building a Modular LLM Evaluation Pipeline with Google Generative AI and LangChain Introduction Evaluating Large Language Models (LLMs) is crucial for enhancing the reliability and effectiveness of artificial intelligence in both academic and business environments. As these models evolve, the demand for thorough and reproducible evaluation methods increases. This […] ➡️➡️➡️

M1: A New Approach to AI Reasoning M1: A New Approach to AI Reasoning Understanding the Need for Efficient Reasoning Models Effective reasoning is critical for addressing complex challenges in fields like mathematics and programming. Traditional transformer-based models have shown significant improvements due to their ability to perform long-chain-of-thought reasoning. However, these models have limitations, […] ➡️➡️➡️