Agents Week 2026 | Лекция 1.1 Intro to AI Agents LLM
Speaker: Alena Zaytseva, Head of AI Services at Yandex Lavka, which develops client-side and internal AI agents, as well as a platform for them. In the lecture: We'll explain how the intensive course is structured; We'll delve into agents: the scenarios in which they can be used, and the evolution of human interaction and LLM; We'll move on to LLM: We'll define LLM, explain weights and Next-Token Prediction, and explore how LLMs learn and what they're particularly good at; We'll build a simple agent in practice. Link to materials: https://disk.yandex.ru/d/8nYIIjvHglHYYQ Learn more about the School of Data Analysis on the website: https://shad.yandex.ru/

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Agents Week 2026 | Lecture 1.2 Tools. MCP

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Agents Week 2026 | Лекция 2 Memory and Guardrails in LLM-Powered Agents

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Performance Engineering Mastery Program Day 1 video on 6th July 2026.

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Agents Week 2026 | Лекция 5.1 Production Engineering for LLM Agents

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LLM-инженер — собеседование. Выпускник МФТИ собеседует студента "Центрального Университета".

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Владимир Харин. 1С и AI: от хайпа к практике. Создаем MCP-сервер для интеграции ваших баз с LLM

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Agents Week 2026 | Лекция 4 Agent Evaluation: From Metrics to Managed Quality

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Agents Week 2026 | Лекция 5.2 Production Engineering for LLM Agents

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Harnesses in AI: A Deep Dive — Tejas Kumar, IBM

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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

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Agents Week 2026 | Семинар 3 AI Agent Workflow Multi-Agent Systems Multimodality

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Git-based skills: the new memory for AI agents. My experience

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Spec-Driven Development: How to Write Production Code with AI Agents | Sergey Belov, Yandex

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Agents Week 2026 | Семинар 2 Memory and Guardrails in LLM-Powered Agents

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OWASP's Top 10 Ways to Attack LLMs: AI Vulnerabilities Exposed

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How LLM Assistants Think

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Agent Harness | THE CLEAREST EXPLANATION!

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Agents Week 2026 | Лекция 3 AI Agent Workflow Multi-Agent Systems Multimodality

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Карпатый Wiki Вместо RAG — Полный Obsidian Сетап Для Новичка

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